id sid tid token lemma pos crl-25015 1 1 683 683 NUM crl-25015 1 2 using use VERB crl-25015 1 3 machine machine NOUN crl-25015 1 4 learning learning NOUN crl-25015 1 5 to to PART crl-25015 1 6 predict predict VERB crl-25015 1 7 chat chat VERB crl-25015 1 8 difficulty difficulty NOUN crl-25015 1 9 jeremy jeremy PROPN crl-25015 1 10 walker walker NOUN crl-25015 1 11 and and CCONJ crl-25015 1 12 jason jason PROPN crl-25015 1 13 coleman coleman PROPN crl-25015 1 14 * * PUNCT crl-25015 2 1 this this DET crl-25015 2 2 study study NOUN crl-25015 2 3 aims aim VERB crl-25015 2 4 to to PART crl-25015 2 5 evaluate evaluate VERB crl-25015 2 6 the the DET crl-25015 2 7 effectiveness effectiveness NOUN crl-25015 2 8 and and CCONJ crl-25015 2 9 potential potential ADJ crl-25015 2 10 utility utility NOUN crl-25015 2 11 of of ADP crl-25015 2 12 using use VERB crl-25015 2 13 machine machine NOUN crl-25015 2 14 learning learning NOUN crl-25015 2 15 and and CCONJ crl-25015 2 16 natural natural ADJ crl-25015 2 17 language language NOUN crl-25015 2 18 processing processing NOUN crl-25015 2 19 techniques technique NOUN crl-25015 2 20 to to PART crl-25015 2 21 develop develop VERB crl-25015 2 22 models model NOUN crl-25015 2 23 that that PRON crl-25015 2 24 can can AUX crl-25015 2 25 reliably reliably ADV crl-25015 2 26 predict predict VERB crl-25015 2 27 the the DET crl-25015 2 28 relative relative ADJ crl-25015 2 29 difficulty difficulty NOUN crl-25015 2 30 of of ADP crl-25015 2 31 incoming incoming ADJ crl-25015 2 32 chat chat NOUN crl-25015 2 33 reference reference NOUN crl-25015 2 34 questions question NOUN crl-25015 2 35 . . PUNCT crl-25015 3 1 using use VERB crl-25015 3 2 a a DET crl-25015 3 3 relatively relatively ADV crl-25015 3 4 large large ADJ crl-25015 3 5 sample sample NOUN crl-25015 3 6 size size NOUN crl-25015 3 7 of of ADP crl-25015 3 8 chat chat NOUN crl-25015 3 9 transcripts transcript NOUN crl-25015 3 10 ( ( PUNCT crl-25015 3 11 n n CCONJ crl-25015 3 12 = = X crl-25015 3 13 15,690 15,690 NUM crl-25015 3 14 ) ) PUNCT crl-25015 3 15 , , PUNCT crl-25015 3 16 an an DET crl-25015 3 17 empirical empirical ADJ crl-25015 3 18 experimental experimental ADJ crl-25015 3 19 design design NOUN crl-25015 3 20 was be AUX crl-25015 3 21 used use VERB crl-25015 3 22 to to PART crl-25015 3 23 test test VERB crl-25015 3 24 and and CCONJ crl-25015 3 25 evaluate evaluate VERB crl-25015 3 26 640 640 NUM crl-25015 3 27 unique unique ADJ crl-25015 3 28 models model NOUN crl-25015 3 29 . . PUNCT crl-25015 4 1 results result NOUN crl-25015 4 2 showed show VERB crl-25015 4 3 the the DET crl-25015 4 4 predictive predictive ADJ crl-25015 4 5 power power NOUN crl-25015 4 6 of of ADP crl-25015 4 7 observed observed ADJ crl-25015 4 8 modeling modeling NOUN crl-25015 4 9 processes process NOUN crl-25015 4 10 to to PART crl-25015 4 11 be be AUX crl-25015 4 12 highly highly ADV crl-25015 4 13 statistically statistically ADV crl-25015 4 14 significant significant ADJ crl-25015 4 15 . . PUNCT crl-25015 5 1 these these DET crl-25015 5 2 findings finding NOUN crl-25015 5 3 have have VERB crl-25015 5 4 implications implication NOUN crl-25015 5 5 for for ADP crl-25015 5 6 how how SCONJ crl-25015 5 7 library library NOUN crl-25015 5 8 service service NOUN crl-25015 5 9 managers manager NOUN crl-25015 5 10 may may AUX crl-25015 5 11 seek seek VERB crl-25015 5 12 to to PART crl-25015 5 13 develop develop VERB crl-25015 5 14 and and CCONJ crl-25015 5 15 refine refine VERB crl-25015 5 16 reference reference NOUN crl-25015 5 17 services service NOUN crl-25015 5 18 using use VERB crl-25015 5 19 advanced advanced ADJ crl-25015 5 20 analytical analytical ADJ crl-25015 5 21 methods method NOUN crl-25015 5 22 . . PUNCT crl-25015 6 1 introduction introduction NOUN crl-25015 6 2 academic academic ADJ crl-25015 6 3 libraries library NOUN crl-25015 6 4 face face VERB crl-25015 6 5 persistent persistent ADJ crl-25015 6 6 challenges challenge NOUN crl-25015 6 7 and and CCONJ crl-25015 6 8 open open ADJ crl-25015 6 9 questions question NOUN crl-25015 6 10 with with ADP crl-25015 6 11 regard regard NOUN crl-25015 6 12 to to ADP crl-25015 6 13 how how SCONJ crl-25015 6 14 they they PRON crl-25015 6 15 can can AUX crl-25015 6 16 best good ADJ crl-25015 6 17 support support VERB crl-25015 6 18 and and CCONJ crl-25015 6 19 manage manage VERB crl-25015 6 20 virtual virtual ADJ crl-25015 6 21 reference reference NOUN crl-25015 6 22 services service NOUN crl-25015 6 23 ( ( PUNCT crl-25015 6 24 vrs vrs PROPN crl-25015 6 25 ) ) PUNCT crl-25015 6 26 , , PUNCT crl-25015 6 27 sometimes sometimes ADV crl-25015 6 28 referred refer VERB crl-25015 6 29 to to ADP crl-25015 6 30 as as ADP crl-25015 6 31 “ " PUNCT crl-25015 6 32 chat chat VERB crl-25015 6 33 reference reference NOUN crl-25015 6 34 . . PUNCT crl-25015 6 35 ” " PUNCT crl-25015 7 1 academic academic ADJ crl-25015 7 2 libraries library NOUN crl-25015 7 3 are be AUX crl-25015 7 4 experiencing experience VERB crl-25015 7 5 increasingly increasingly ADV crl-25015 7 6 tight tight ADJ crl-25015 7 7 budgets budget NOUN crl-25015 7 8 , , PUNCT crl-25015 7 9 limited limited ADJ crl-25015 7 10 human human ADJ crl-25015 7 11 resources resource NOUN crl-25015 7 12 , , PUNCT crl-25015 7 13 and and CCONJ crl-25015 7 14 , , PUNCT crl-25015 7 15 as as ADP crl-25015 7 16 a a DET crl-25015 7 17 consequence consequence NOUN crl-25015 7 18 of of ADP crl-25015 7 19 the the DET crl-25015 7 20 covid-19 covid-19 PROPN crl-25015 7 21 pandemic pandemic PROPN crl-25015 7 22 , , PUNCT crl-25015 7 23 a a DET crl-25015 7 24 potential potential ADJ crl-25015 7 25 sea sea NOUN crl-25015 7 26 - - PUNCT crl-25015 7 27 change change NOUN crl-25015 7 28 in in ADP crl-25015 7 29 how how SCONJ crl-25015 7 30 and and CCONJ crl-25015 7 31 where where SCONJ crl-25015 7 32 librarians librarian NOUN crl-25015 7 33 perform perform VERB crl-25015 7 34 their their PRON crl-25015 7 35 work work NOUN crl-25015 7 36 . . PUNCT crl-25015 8 1 consequently consequently ADV crl-25015 8 2 , , PUNCT crl-25015 8 3 library library NOUN crl-25015 8 4 service service NOUN crl-25015 8 5 managers manager NOUN crl-25015 8 6 will will AUX crl-25015 8 7 need need VERB crl-25015 8 8 to to PART crl-25015 8 9 continue continue VERB crl-25015 8 10 to to PART crl-25015 8 11 adapt adapt VERB crl-25015 8 12 and and CCONJ crl-25015 8 13 evolve evolve VERB crl-25015 8 14 in in ADP crl-25015 8 15 their their PRON crl-25015 8 16 approach approach NOUN crl-25015 8 17 to to ADP crl-25015 8 18 managing manage VERB crl-25015 8 19 and and CCONJ crl-25015 8 20 delivering deliver VERB crl-25015 8 21 reference reference NOUN crl-25015 8 22 services service NOUN crl-25015 8 23 . . PUNCT crl-25015 9 1 many many ADJ crl-25015 9 2 managers manager NOUN crl-25015 9 3 are be AUX crl-25015 9 4 looking look VERB crl-25015 9 5 increasingly increasingly ADV crl-25015 9 6 to to ADP crl-25015 9 7 technology technology NOUN crl-25015 9 8 to to PART crl-25015 9 9 support support VERB crl-25015 9 10 remote remote ADJ crl-25015 9 11 operations operation NOUN crl-25015 9 12 . . PUNCT crl-25015 10 1 zoom zoom VERB crl-25015 10 2 chat chat PROPN crl-25015 10 3 services service NOUN crl-25015 10 4 , , PUNCT crl-25015 10 5 i i PRON crl-25015 10 6 m m VERB crl-25015 10 7 chat chat VERB crl-25015 10 8 , , PUNCT crl-25015 10 9 appointment appointment NOUN crl-25015 10 10 scheduling scheduling NOUN crl-25015 10 11 , , PUNCT crl-25015 10 12 and and CCONJ crl-25015 10 13 real real ADJ crl-25015 10 14 - - PUNCT crl-25015 10 15 time time NOUN crl-25015 10 16 monitoring monitoring NOUN crl-25015 10 17 of of ADP crl-25015 10 18 space space NOUN crl-25015 10 19 capacity capacity NOUN crl-25015 10 20 have have AUX crl-25015 10 21 been be AUX crl-25015 10 22 receiving receive VERB crl-25015 10 23 abundant abundant ADJ crl-25015 10 24 attention attention NOUN crl-25015 10 25 . . PUNCT crl-25015 11 1 we we PRON crl-25015 11 2 suggest suggest VERB crl-25015 11 3 that that SCONJ crl-25015 11 4 this this PRON crl-25015 11 5 is be AUX crl-25015 11 6 also also ADV crl-25015 11 7 a a DET crl-25015 11 8 perfect perfect ADJ crl-25015 11 9 time time NOUN crl-25015 11 10 to to PART crl-25015 11 11 examine examine VERB crl-25015 11 12 possible possible ADJ crl-25015 11 13 applications application NOUN crl-25015 11 14 of of ADP crl-25015 11 15 machine machine NOUN crl-25015 11 16 learning learning NOUN crl-25015 11 17 and and CCONJ crl-25015 11 18 advanced advanced ADJ crl-25015 11 19 text text NOUN crl-25015 11 20 analysis analysis NOUN crl-25015 11 21 . . PUNCT crl-25015 12 1 building build VERB crl-25015 12 2 upon upon SCONJ crl-25015 12 3 previous previous ADJ crl-25015 12 4 work,1 work,1 ADP crl-25015 12 5 the the DET crl-25015 12 6 authors author NOUN crl-25015 12 7 organized organize VERB crl-25015 12 8 a a DET crl-25015 12 9 research research NOUN crl-25015 12 10 project project NOUN crl-25015 12 11 intended intend VERB crl-25015 12 12 to to PART crl-25015 12 13 explore explore VERB crl-25015 12 14 if if SCONJ crl-25015 12 15 machine machine NOUN crl-25015 12 16 learning learning NOUN crl-25015 12 17 and and CCONJ crl-25015 12 18 natural natural ADJ crl-25015 12 19 language language NOUN crl-25015 12 20 processing processing NOUN crl-25015 12 21 ( ( PUNCT crl-25015 12 22 nlp nlp NOUN crl-25015 12 23 ) ) PUNCT crl-25015 12 24 methods method NOUN crl-25015 12 25 can can AUX crl-25015 12 26 be be AUX crl-25015 12 27 used use VERB crl-25015 12 28 to to PART crl-25015 12 29 develop develop VERB crl-25015 12 30 models model NOUN crl-25015 12 31 that that PRON crl-25015 12 32 effectively effectively ADV crl-25015 12 33 predict predict VERB crl-25015 12 34 the the DET crl-25015 12 35 relative relative ADJ crl-25015 12 36 difficulty difficulty NOUN crl-25015 12 37 of of ADP crl-25015 12 38 vrs vrs PROPN crl-25015 12 39 service service NOUN crl-25015 12 40 interactions interaction NOUN crl-25015 12 41 based base VERB crl-25015 12 42 strictly strictly ADV crl-25015 12 43 on on ADP crl-25015 12 44 the the DET crl-25015 12 45 opening opening NOUN crl-25015 12 46 questions question NOUN crl-25015 12 47 and and CCONJ crl-25015 12 48 initial initial ADJ crl-25015 12 49 statements statement NOUN crl-25015 12 50 provided provide VERB crl-25015 12 51 by by ADP crl-25015 12 52 patrons patron NOUN crl-25015 12 53 . . PUNCT crl-25015 13 1 the the DET crl-25015 13 2 research research NOUN crl-25015 13 3 project project NOUN crl-25015 13 4 ’s ’s PART crl-25015 13 5 scope scope NOUN crl-25015 13 6 was be AUX crl-25015 13 7 strictly strictly ADV crl-25015 13 8 focused focus VERB crl-25015 13 9 on on ADP crl-25015 13 10 the the DET crl-25015 13 11 structure structure NOUN crl-25015 13 12 and and CCONJ crl-25015 13 13 evaluation evaluation NOUN crl-25015 13 14 of of ADP crl-25015 13 15 predictive predictive ADJ crl-25015 13 16 models model NOUN crl-25015 13 17 . . PUNCT crl-25015 14 1 although although SCONJ crl-25015 14 2 beyond beyond ADP crl-25015 14 3 the the DET crl-25015 14 4 scope scope NOUN crl-25015 14 5 of of ADP crl-25015 14 6 this this DET crl-25015 14 7 paper paper NOUN crl-25015 14 8 , , PUNCT crl-25015 14 9 our our PRON crl-25015 14 10 research research NOUN crl-25015 14 11 may may AUX crl-25015 14 12 have have VERB crl-25015 14 13 implications implication NOUN crl-25015 14 14 for for ADP crl-25015 14 15 future future ADJ crl-25015 14 16 developments development NOUN crl-25015 14 17 in in ADP crl-25015 14 18 vrs vrs PROPN crl-25015 14 19 systems system NOUN crl-25015 14 20 and and CCONJ crl-25015 14 21 managing manage VERB crl-25015 14 22 patron patron NOUN crl-25015 14 23 services service NOUN crl-25015 14 24 . . PUNCT crl-25015 15 1 ideally ideally ADV crl-25015 15 2 , , PUNCT crl-25015 15 3 if if SCONJ crl-25015 15 4 any any DET crl-25015 15 5 formulation formulation NOUN crl-25015 15 6 of of ADP crl-25015 15 7 the the DET crl-25015 15 8 models model NOUN crl-25015 15 9 covered cover VERB crl-25015 15 10 by by ADP crl-25015 15 11 this this DET crl-25015 15 12 research research NOUN crl-25015 15 13 are be AUX crl-25015 15 14 implemented implement VERB crl-25015 15 15 in in ADP crl-25015 15 16 practice practice NOUN crl-25015 15 17 , , PUNCT crl-25015 15 18 library library NOUN crl-25015 15 19 service service NOUN crl-25015 15 20 managers manager NOUN crl-25015 15 21 may may AUX crl-25015 15 22 be be AUX crl-25015 15 23 able able ADJ crl-25015 15 24 to to PART crl-25015 15 25 effectively effectively ADV crl-25015 15 26 triage triage VERB crl-25015 15 27 incoming incoming ADJ crl-25015 15 28 inquiries inquiry NOUN crl-25015 15 29 to to ADP crl-25015 15 30 librarians librarian NOUN crl-25015 15 31 , , PUNCT crl-25015 15 32 staff staff NOUN crl-25015 15 33 , , PUNCT crl-25015 15 34 and and CCONJ crl-25015 15 35 student student NOUN crl-25015 15 36 - - PUNCT crl-25015 15 37 employees employee NOUN crl-25015 15 38 according accord VERB crl-25015 15 39 to to ADP crl-25015 15 40 their their PRON crl-25015 15 41 respective respective ADJ crl-25015 15 42 skills skill NOUN crl-25015 15 43 , , PUNCT crl-25015 15 44 training training NOUN crl-25015 15 45 , , PUNCT crl-25015 15 46 and and CCONJ crl-25015 15 47 duties duty NOUN crl-25015 15 48 . . PUNCT crl-25015 16 1 this this PRON crl-25015 16 2 has have VERB crl-25015 16 3 the the DET crl-25015 16 4 potential potential NOUN crl-25015 16 5 to to PART crl-25015 16 6 drastically drastically ADV crl-25015 16 7 improve improve VERB crl-25015 16 8 librarian librarian ADJ crl-25015 16 9 workloads workload NOUN crl-25015 16 10 by by ADP crl-25015 16 11 redirecting redirect VERB crl-25015 16 12 simple simple ADJ crl-25015 16 13 , , PUNCT crl-25015 16 14 directional directional ADJ crl-25015 16 15 , , PUNCT crl-25015 16 16 and and CCONJ crl-25015 16 17 rote rote VERB crl-25015 16 18 questions question NOUN crl-25015 16 19 away away ADV crl-25015 16 20 from from ADP crl-25015 16 21 highly highly ADV crl-25015 16 22 skilled skilled ADJ crl-25015 16 23 librarians librarian NOUN crl-25015 16 24 and and CCONJ crl-25015 16 25 toward toward ADP crl-25015 16 26 student student NOUN crl-25015 16 27 employees employee NOUN crl-25015 16 28 , , PUNCT crl-25015 16 29 library library NOUN crl-25015 16 30 interns intern NOUN crl-25015 16 31 , , PUNCT crl-25015 16 32 or or CCONJ crl-25015 16 33 other other ADJ crl-25015 16 34 library library NOUN crl-25015 16 35 employees employee NOUN crl-25015 16 36 . . PUNCT crl-25015 17 1 jeremy jeremy ADJ crl-25015 17 2 walker walker NOUN crl-25015 17 3 is be AUX crl-25015 17 4 data data NOUN crl-25015 17 5 services service NOUN crl-25015 17 6 librarian librarian NOUN crl-25015 17 7 at at ADP crl-25015 17 8 georgia georgia PROPN crl-25015 17 9 state state PROPN crl-25015 17 10 university university PROPN crl-25015 17 11 ; ; PUNCT crl-25015 17 12 email email NOUN crl-25015 17 13 : : PUNCT crl-25015 17 14 jwalker184@gsu.edu jwalker184@gsu.edu PROPN crl-25015 17 15 . . PUNCT crl-25015 18 1 jason jason PROPN crl-25015 18 2 coleman coleman PROPN crl-25015 18 3 is be AUX crl-25015 18 4 head head NOUN crl-25015 18 5 , , PUNCT crl-25015 18 6 library library PROPN crl-25015 18 7 user user NOUN crl-25015 18 8 services service NOUN crl-25015 18 9 , , PUNCT crl-25015 18 10 at at ADP crl-25015 18 11 kansas kansas PROPN crl-25015 18 12 state state PROPN crl-25015 18 13 university university PROPN crl-25015 18 14 ; ; PUNCT crl-25015 18 15 email email NOUN crl-25015 18 16 : : PUNCT crl-25015 18 17 coleman@k-state.edu coleman@k-state.edu PROPN crl-25015 18 18 . . PUNCT crl-25015 19 1 © © ADJ crl-25015 19 2 2021 2021 NUM crl-25015 19 3 jeremy jeremy NOUN crl-25015 19 4 walker walker NOUN crl-25015 19 5 and and CCONJ crl-25015 19 6 jason jason PROPN crl-25015 19 7 coleman coleman PROPN crl-25015 19 8 , , PUNCT crl-25015 19 9 attribution attribution NOUN crl-25015 19 10 - - PUNCT crl-25015 19 11 noncommercial noncommercial ADJ crl-25015 19 12 ( ( PUNCT crl-25015 19 13 https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/ NUM crl-25015 19 14 ) ) PUNCT crl-25015 19 15 cc cc X crl-25015 19 16 by by ADP crl-25015 19 17 - - PUNCT crl-25015 19 18 nc nc PROPN crl-25015 19 19 . . PUNCT crl-25015 19 20 mailto:jwalker184@gsu.edu mailto:jwalker184@gsu.edu PROPN crl-25015 19 21 mailto:coleman@k-state.edu mailto:coleman@k-state.edu PROPN crl-25015 19 22 684 684 NUM crl-25015 19 23 college college PROPN crl-25015 19 24 & & CCONJ crl-25015 19 25 research research PROPN crl-25015 19 26 libraries library NOUN crl-25015 19 27 july july PROPN crl-25015 19 28 2021 2021 NUM crl-25015 19 29 literature literature NOUN crl-25015 19 30 review review NOUN crl-25015 19 31 the the DET crl-25015 19 32 vast vast ADJ crl-25015 19 33 majority majority NOUN crl-25015 19 34 of of ADP crl-25015 19 35 recent recent ADJ crl-25015 19 36 research research NOUN crl-25015 19 37 concerning concern VERB crl-25015 19 38 vrs vrs PROPN crl-25015 19 39 transcripts transcript NOUN crl-25015 19 40 has have AUX crl-25015 19 41 been be AUX crl-25015 19 42 inferential inferential ADJ crl-25015 19 43 , , PUNCT crl-25015 19 44 qualitative qualitative ADJ crl-25015 19 45 , , PUNCT crl-25015 19 46 and and CCONJ crl-25015 19 47 small small ADJ crl-25015 19 48 - - PUNCT crl-25015 19 49 scale scale NOUN crl-25015 19 50 in in ADP crl-25015 19 51 nature nature NOUN crl-25015 19 52 . . PUNCT crl-25015 20 1 a a DET crl-25015 20 2 large large ADJ crl-25015 20 3 body body NOUN crl-25015 20 4 of of ADP crl-25015 20 5 research research NOUN crl-25015 20 6 has have AUX crl-25015 20 7 focused focus VERB crl-25015 20 8 on on ADP crl-25015 20 9 qualitative qualitative ADJ crl-25015 20 10 reviews review NOUN crl-25015 20 11 and and CCONJ crl-25015 20 12 assessment assessment NOUN crl-25015 20 13 of of ADP crl-25015 20 14 vrs vrs PROPN crl-25015 20 15 operators operator NOUN crl-25015 20 16 ’ ’ PART crl-25015 20 17 behavior behavior NOUN crl-25015 20 18 with with ADP crl-25015 20 19 respect respect NOUN crl-25015 20 20 to to ADP crl-25015 20 21 standards standard NOUN crl-25015 20 22 , , PUNCT crl-25015 20 23 service service NOUN crl-25015 20 24 quality quality NOUN crl-25015 20 25 , , PUNCT crl-25015 20 26 and and CCONJ crl-25015 20 27 operators operator NOUN crl-25015 20 28 ’ ' PUNCT crl-25015 20 29 skills.2 skills.2 VERB crl-25015 20 30 other other ADJ crl-25015 20 31 research research NOUN crl-25015 20 32 has have AUX crl-25015 20 33 focused focus VERB crl-25015 20 34 on on ADP crl-25015 20 35 qualitative qualitative ADJ crl-25015 20 36 reviews review NOUN crl-25015 20 37 and and CCONJ crl-25015 20 38 assessment assessment NOUN crl-25015 20 39 of of ADP crl-25015 20 40 vrs vrs PROPN crl-25015 20 41 users user NOUN crl-25015 20 42 ’ ’ PART crl-25015 20 43 behavior behavior NOUN crl-25015 20 44 during during ADP crl-25015 20 45 chat chat NOUN crl-25015 20 46 sessions session NOUN crl-25015 20 47 with with ADP crl-25015 20 48 an an DET crl-25015 20 49 emphasis emphasis NOUN crl-25015 20 50 on on ADP crl-25015 20 51 the the DET crl-25015 20 52 types type NOUN crl-25015 20 53 of of ADP crl-25015 20 54 questions question NOUN crl-25015 20 55 users user NOUN crl-25015 20 56 have have VERB crl-25015 20 57 and and CCONJ crl-25015 20 58 users user NOUN crl-25015 20 59 ’ ’ PART crl-25015 20 60 perceptions perception NOUN crl-25015 20 61 of of ADP crl-25015 20 62 library library NOUN crl-25015 20 63 resources.3 resources.3 X crl-25015 20 64 the the DET crl-25015 20 65 qualitative qualitative ADJ crl-25015 20 66 and and CCONJ crl-25015 20 67 inferential inferential ADJ crl-25015 20 68 nature nature NOUN crl-25015 20 69 of of ADP crl-25015 20 70 much much ADJ crl-25015 20 71 of of ADP crl-25015 20 72 the the DET crl-25015 20 73 research research NOUN crl-25015 20 74 involving involve VERB crl-25015 20 75 vrs vrs PROPN crl-25015 20 76 , , PUNCT crl-25015 20 77 chat chat VERB crl-25015 20 78 reference reference NOUN crl-25015 20 79 in in ADP crl-25015 20 80 particular particular ADJ crl-25015 20 81 , , PUNCT crl-25015 20 82 is be AUX crl-25015 20 83 ubiquitous ubiquitous ADJ crl-25015 20 84 in in ADP crl-25015 20 85 the the DET crl-25015 20 86 literature.4 literature.4 PROPN crl-25015 20 87 one one NUM crl-25015 20 88 particularly particularly ADV crl-25015 20 89 relevant relevant ADJ crl-25015 20 90 vein vein NOUN crl-25015 20 91 of of ADP crl-25015 20 92 research research NOUN crl-25015 20 93 pertaining pertain VERB crl-25015 20 94 to to ADP crl-25015 20 95 reference reference NOUN crl-25015 20 96 services service NOUN crl-25015 20 97 is be AUX crl-25015 20 98 the the DET crl-25015 20 99 evaluation evaluation NOUN crl-25015 20 100 and and CCONJ crl-25015 20 101 analysis analysis NOUN crl-25015 20 102 of of ADP crl-25015 20 103 discrete discrete ADJ crl-25015 20 104 categories category NOUN crl-25015 20 105 of of ADP crl-25015 20 106 vrs vrs PROPN crl-25015 20 107 operators operator NOUN crl-25015 20 108 . . PUNCT crl-25015 21 1 “ " PUNCT crl-25015 21 2 librarians librarian NOUN crl-25015 21 3 , , PUNCT crl-25015 21 4 ” " PUNCT crl-25015 21 5 “ " PUNCT crl-25015 21 6 staff staff NOUN crl-25015 21 7 , , PUNCT crl-25015 21 8 ” " PUNCT crl-25015 21 9 “ " PUNCT crl-25015 21 10 student student NOUN crl-25015 21 11 assistants assistant NOUN crl-25015 21 12 , , PUNCT crl-25015 21 13 ” " PUNCT crl-25015 21 14 and and CCONJ crl-25015 21 15 related related ADJ crl-25015 21 16 synonyms synonym NOUN crl-25015 21 17 are be AUX crl-25015 21 18 often often ADV crl-25015 21 19 used use VERB crl-25015 21 20 to to PART crl-25015 21 21 categorize categorize VERB crl-25015 21 22 different different ADJ crl-25015 21 23 types type NOUN crl-25015 21 24 of of ADP crl-25015 21 25 vrs vrs PROPN crl-25015 21 26 operators operator NOUN crl-25015 21 27 with with ADP crl-25015 21 28 respect respect NOUN crl-25015 21 29 to to ADP crl-25015 21 30 varying vary VERB crl-25015 21 31 perceptions perception NOUN crl-25015 21 32 of of ADP crl-25015 21 33 labor labor NOUN crl-25015 21 34 costs cost NOUN crl-25015 21 35 , , PUNCT crl-25015 21 36 skills skill NOUN crl-25015 21 37 , , PUNCT crl-25015 21 38 and and CCONJ crl-25015 21 39 job job NOUN crl-25015 21 40 duties duty NOUN crl-25015 21 41 with with ADP crl-25015 21 42 respect respect NOUN crl-25015 21 43 to to ADP crl-25015 21 44 libraries library NOUN crl-25015 21 45 ’ ' PUNCT crl-25015 21 46 operations operation NOUN crl-25015 21 47 . . PUNCT crl-25015 22 1 a a DET crl-25015 22 2 relevant relevant ADJ crl-25015 22 3 focal focal ADJ crl-25015 22 4 point point NOUN crl-25015 22 5 in in ADP crl-25015 22 6 the the DET crl-25015 22 7 literature literature NOUN crl-25015 22 8 is be AUX crl-25015 22 9 concerned concern VERB crl-25015 22 10 with with ADP crl-25015 22 11 the the DET crl-25015 22 12 ability ability NOUN crl-25015 22 13 of of ADP crl-25015 22 14 library library NOUN crl-25015 22 15 staff staff NOUN crl-25015 22 16 , , PUNCT crl-25015 22 17 including include VERB crl-25015 22 18 vrs vrs PROPN crl-25015 22 19 operators operator NOUN crl-25015 22 20 , , PUNCT crl-25015 22 21 to to PART crl-25015 22 22 refer refer VERB crl-25015 22 23 patrons patron NOUN crl-25015 22 24 to to ADP crl-25015 22 25 more more ADV crl-25015 22 26 qualified qualified ADJ crl-25015 22 27 librarians librarian NOUN crl-25015 22 28 and and CCONJ crl-25015 22 29 staff staff NOUN crl-25015 22 30 quickly quickly ADV crl-25015 22 31 and and CCONJ crl-25015 22 32 efficiently.5 efficiently.5 AUX crl-25015 22 33 focusing focus VERB crl-25015 22 34 on on ADP crl-25015 22 35 student student NOUN crl-25015 22 36 employees employee NOUN crl-25015 22 37 , , PUNCT crl-25015 22 38 bravender bravender VERB crl-25015 22 39 et et PROPN crl-25015 23 1 al al PROPN crl-25015 23 2 . . PROPN crl-25015 23 3 found find VERB crl-25015 23 4 that that SCONJ crl-25015 23 5 the the DET crl-25015 23 6 majority majority NOUN crl-25015 23 7 of of ADP crl-25015 23 8 analyzed analyze VERB crl-25015 23 9 vrs vrs PROPN crl-25015 23 10 interactions interaction NOUN crl-25015 23 11 did do AUX crl-25015 23 12 not not PART crl-25015 23 13 require require VERB crl-25015 23 14 the the DET crl-25015 23 15 skills skill NOUN crl-25015 23 16 of of ADP crl-25015 23 17 full full ADJ crl-25015 23 18 - - PUNCT crl-25015 23 19 time time NOUN crl-25015 23 20 librarians librarian NOUN crl-25015 23 21 and and CCONJ crl-25015 23 22 that that SCONJ crl-25015 23 23 student student NOUN crl-25015 23 24 operators operator NOUN crl-25015 23 25 were be AUX crl-25015 23 26 fully fully ADV crl-25015 23 27 capable capable ADJ crl-25015 23 28 of of ADP crl-25015 23 29 providing provide VERB crl-25015 23 30 high high ADJ crl-25015 23 31 - - PUNCT crl-25015 23 32 quality quality NOUN crl-25015 23 33 service service NOUN crl-25015 23 34 to to ADP crl-25015 23 35 users.6 users.6 X crl-25015 23 36 most most ADV crl-25015 23 37 recently recently ADV crl-25015 23 38 , , PUNCT crl-25015 23 39 the the DET crl-25015 23 40 research research NOUN crl-25015 23 41 from from ADP crl-25015 23 42 radniecki radniecki PROPN crl-25015 23 43 and and CCONJ crl-25015 23 44 winterman winterman PROPN crl-25015 23 45 shows show VERB crl-25015 23 46 that that SCONJ crl-25015 23 47 the the DET crl-25015 23 48 potential potential NOUN crl-25015 23 49 for for ADP crl-25015 23 50 student student NOUN crl-25015 23 51 employees employee NOUN crl-25015 23 52 to to PART crl-25015 23 53 provide provide VERB crl-25015 23 54 highquality highquality NOUN crl-25015 23 55 service service NOUN crl-25015 23 56 is be AUX crl-25015 23 57 not not PART crl-25015 23 58 limited limit VERB crl-25015 23 59 to to ADP crl-25015 23 60 routine routine ADJ crl-25015 23 61 and and CCONJ crl-25015 23 62 directional directional ADJ crl-25015 23 63 questions question NOUN crl-25015 23 64 , , PUNCT crl-25015 23 65 but but CCONJ crl-25015 23 66 also also ADV crl-25015 23 67 more more ADV crl-25015 23 68 advanced advanced ADJ crl-25015 23 69 and and CCONJ crl-25015 23 70 niche niche NOUN crl-25015 23 71 services.7 services.7 NOUN crl-25015 23 72 research research NOUN crl-25015 23 73 also also ADV crl-25015 23 74 indicates indicate VERB crl-25015 23 75 that that SCONJ crl-25015 23 76 , , PUNCT crl-25015 23 77 while while SCONJ crl-25015 23 78 student student NOUN crl-25015 23 79 employees employee NOUN crl-25015 23 80 are be AUX crl-25015 23 81 capable capable ADJ crl-25015 23 82 of of ADP crl-25015 23 83 providing provide VERB crl-25015 23 84 excellent excellent ADJ crl-25015 23 85 service service NOUN crl-25015 23 86 , , PUNCT crl-25015 23 87 they they PRON crl-25015 23 88 are be AUX crl-25015 23 89 less less ADV crl-25015 23 90 skilled skilled ADJ crl-25015 23 91 at at ADP crl-25015 23 92 referring refer VERB crl-25015 23 93 patrons patron NOUN crl-25015 23 94 with with ADP crl-25015 23 95 challenging challenge VERB crl-25015 23 96 inquiries.8 inquiries.8 PROPN crl-25015 23 97 critically critically ADV crl-25015 23 98 , , PUNCT crl-25015 23 99 the the DET crl-25015 23 100 combination combination NOUN crl-25015 23 101 of of ADP crl-25015 23 102 these these DET crl-25015 23 103 insights insight NOUN crl-25015 23 104 implies imply VERB crl-25015 23 105 that that SCONJ crl-25015 23 106 there there PRON crl-25015 23 107 is be VERB crl-25015 23 108 value value NOUN crl-25015 23 109 in in ADP crl-25015 23 110 developing develop VERB crl-25015 23 111 systems system NOUN crl-25015 23 112 that that PRON crl-25015 23 113 can can AUX crl-25015 23 114 automatically automatically ADV crl-25015 23 115 triage triage VERB crl-25015 23 116 incoming incoming ADJ crl-25015 23 117 vrs vrs PROPN crl-25015 23 118 inquiries inquiry NOUN crl-25015 23 119 to to PART crl-25015 23 120 appropriate appropriate VERB crl-25015 23 121 vrs vrs NOUN crl-25015 23 122 operators operator NOUN crl-25015 23 123 , , PUNCT crl-25015 23 124 regardless regardless ADV crl-25015 23 125 of of ADP crl-25015 23 126 how how SCONJ crl-25015 23 127 they they PRON crl-25015 23 128 are be AUX crl-25015 23 129 segmented segment VERB crl-25015 23 130 , , PUNCT crl-25015 23 131 to to PART crl-25015 23 132 enhance enhance VERB crl-25015 23 133 the the DET crl-25015 23 134 effectiveness effectiveness NOUN crl-25015 23 135 of of ADP crl-25015 23 136 library library NOUN crl-25015 23 137 service service NOUN crl-25015 23 138 operations operation NOUN crl-25015 23 139 . . PUNCT crl-25015 24 1 building build VERB crl-25015 24 2 on on ADP crl-25015 24 3 these these DET crl-25015 24 4 implications implication NOUN crl-25015 24 5 , , PUNCT crl-25015 24 6 the the DET crl-25015 24 7 authors author NOUN crl-25015 24 8 of of ADP crl-25015 24 9 the the DET crl-25015 24 10 current current ADJ crl-25015 24 11 study study NOUN crl-25015 24 12 sought seek VERB crl-25015 24 13 to to PART crl-25015 24 14 evaluate evaluate VERB crl-25015 24 15 the the DET crl-25015 24 16 utility utility NOUN crl-25015 24 17 of of ADP crl-25015 24 18 quantitative quantitative ADJ crl-25015 24 19 models model NOUN crl-25015 24 20 for for ADP crl-25015 24 21 the the DET crl-25015 24 22 potential potential ADJ crl-25015 24 23 purpose purpose NOUN crl-25015 24 24 of of ADP crl-25015 24 25 triaging triage VERB crl-25015 24 26 incoming incoming ADJ crl-25015 24 27 vrs vrs NOUN crl-25015 24 28 interactions interaction NOUN crl-25015 24 29 based base VERB crl-25015 24 30 on on ADP crl-25015 24 31 the the DET crl-25015 24 32 assumption assumption NOUN crl-25015 24 33 that that SCONJ crl-25015 24 34 certain certain ADJ crl-25015 24 35 types type NOUN crl-25015 24 36 of of ADP crl-25015 24 37 library library NOUN crl-25015 24 38 employees employee NOUN crl-25015 24 39 could could AUX crl-25015 24 40 be be AUX crl-25015 24 41 designated designate VERB crl-25015 24 42 to to PART crl-25015 24 43 answer answer VERB crl-25015 24 44 certain certain ADJ crl-25015 24 45 types type NOUN crl-25015 24 46 of of ADP crl-25015 24 47 vrs vrs NOUN crl-25015 24 48 questions question NOUN crl-25015 24 49 . . PUNCT crl-25015 25 1 although although SCONJ crl-25015 25 2 there there PRON crl-25015 25 3 is be VERB crl-25015 25 4 robust robust ADJ crl-25015 25 5 research research NOUN crl-25015 25 6 related relate VERB crl-25015 25 7 to to ADP crl-25015 25 8 vrs vrs NOUN crl-25015 25 9 and and CCONJ crl-25015 25 10 chat chat VERB crl-25015 25 11 reference reference NOUN crl-25015 25 12 , , PUNCT crl-25015 25 13 the the DET crl-25015 25 14 literature literature NOUN crl-25015 25 15 involving involve VERB crl-25015 25 16 the the DET crl-25015 25 17 use use NOUN crl-25015 25 18 of of ADP crl-25015 25 19 “ " PUNCT crl-25015 25 20 machine machine NOUN crl-25015 25 21 learning learning NOUN crl-25015 25 22 ” " PUNCT crl-25015 25 23 and and CCONJ crl-25015 25 24 quantitative quantitative ADJ crl-25015 25 25 modeling modeling NOUN crl-25015 25 26 of of ADP crl-25015 25 27 vrs vrs PROPN crl-25015 25 28 chat chat NOUN crl-25015 25 29 transcripts transcript NOUN crl-25015 25 30 is be AUX crl-25015 25 31 relatively relatively ADV crl-25015 25 32 sparse sparse ADJ crl-25015 25 33 . . PUNCT crl-25015 26 1 in in ADP crl-25015 26 2 general general ADJ crl-25015 26 3 , , PUNCT crl-25015 26 4 as as ADP crl-25015 26 5 with with ADP crl-25015 26 6 many many ADJ crl-25015 26 7 other other ADJ crl-25015 26 8 fields field NOUN crl-25015 26 9 , , PUNCT crl-25015 26 10 “ " PUNCT crl-25015 26 11 machine machine NOUN crl-25015 26 12 learning learning NOUN crl-25015 26 13 ” " PUNCT crl-25015 26 14 and and CCONJ crl-25015 26 15 “ " PUNCT crl-25015 26 16 artificial artificial ADJ crl-25015 26 17 intelligence intelligence NOUN crl-25015 26 18 ” " PUNCT crl-25015 26 19 continue continue VERB crl-25015 26 20 to to PART crl-25015 26 21 be be AUX crl-25015 26 22 popular popular ADJ crl-25015 26 23 and and CCONJ crl-25015 26 24 exciting exciting ADJ crl-25015 26 25 areas area NOUN crl-25015 26 26 of of ADP crl-25015 26 27 research research NOUN crl-25015 26 28 and and CCONJ crl-25015 26 29 development development NOUN crl-25015 26 30 in in ADP crl-25015 26 31 libraries library NOUN crl-25015 26 32 . . PUNCT crl-25015 27 1 in in ADP crl-25015 27 2 recent recent ADJ crl-25015 27 3 years year NOUN crl-25015 27 4 , , PUNCT crl-25015 27 5 repositories repository NOUN crl-25015 27 6 specifically specifically ADV crl-25015 27 7 designed design VERB crl-25015 27 8 to to PART crl-25015 27 9 host host VERB crl-25015 27 10 information information NOUN crl-25015 27 11 about about ADP crl-25015 27 12 “ " PUNCT crl-25015 27 13 ai ai NOUN crl-25015 27 14 ” " PUNCT crl-25015 27 15 projects project NOUN crl-25015 27 16 have have AUX crl-25015 27 17 appeared appear VERB crl-25015 27 18 , , PUNCT crl-25015 27 19 and and CCONJ crl-25015 27 20 many many ADJ crl-25015 27 21 machine machine NOUN crl-25015 27 22 learning learning NOUN crl-25015 27 23 projects project NOUN crl-25015 27 24 have have AUX crl-25015 27 25 been be AUX crl-25015 27 26 conducted conduct VERB crl-25015 27 27 in in ADP crl-25015 27 28 libraries library NOUN crl-25015 27 29 , , PUNCT crl-25015 27 30 largely largely ADV crl-25015 27 31 in in ADP crl-25015 27 32 the the DET crl-25015 27 33 context context NOUN crl-25015 27 34 of of ADP crl-25015 27 35 text text NOUN crl-25015 27 36 mining mining NOUN crl-25015 27 37 and and CCONJ crl-25015 27 38 search.9 search.9 NOUN crl-25015 27 39 some some DET crl-25015 27 40 applied apply VERB crl-25015 27 41 research research NOUN crl-25015 27 42 and and CCONJ crl-25015 27 43 development development NOUN crl-25015 27 44 has have AUX crl-25015 27 45 been be AUX crl-25015 27 46 done do VERB crl-25015 27 47 with with ADP crl-25015 27 48 respect respect NOUN crl-25015 27 49 to to ADP crl-25015 27 50 multiple multiple ADJ crl-25015 27 51 independent independent ADJ crl-25015 27 52 chatbot chatbot NOUN crl-25015 27 53 projects project NOUN crl-25015 27 54 designed design VERB crl-25015 27 55 specifically specifically ADV crl-25015 27 56 to to PART crl-25015 27 57 answer answer VERB crl-25015 27 58 vrs vrs PROPN crl-25015 27 59 inquiries inquiry NOUN crl-25015 27 60 that that PRON crl-25015 27 61 are be AUX crl-25015 27 62 rote rote ADJ crl-25015 27 63 or or CCONJ crl-25015 27 64 predictable predictable ADJ crl-25015 27 65 in in ADP crl-25015 27 66 nature.10 nature.10 ADV crl-25015 27 67 the the DET crl-25015 27 68 relatively relatively ADV crl-25015 27 69 recent recent ADJ crl-25015 27 70 development development NOUN crl-25015 27 71 of of ADP crl-25015 27 72 these these DET crl-25015 27 73 projects project NOUN crl-25015 27 74 indicates indicate VERB crl-25015 27 75 an an DET crl-25015 27 76 increasing increase VERB crl-25015 27 77 need need NOUN crl-25015 27 78 for for ADP crl-25015 27 79 automated automate VERB crl-25015 27 80 systems system NOUN crl-25015 27 81 designed design VERB crl-25015 27 82 to to PART crl-25015 27 83 enhance enhance VERB crl-25015 27 84 library library NOUN crl-25015 27 85 service service NOUN crl-25015 27 86 operations operation NOUN crl-25015 27 87 . . PUNCT crl-25015 28 1 however however ADV crl-25015 28 2 , , PUNCT crl-25015 28 3 information information NOUN crl-25015 28 4 about about ADP crl-25015 28 5 these these DET crl-25015 28 6 chatbot chatbot PROPN crl-25015 28 7 systems system NOUN crl-25015 28 8 ’ ’ PART crl-25015 28 9 performance performance NOUN crl-25015 28 10 is be AUX crl-25015 28 11 sparse sparse ADJ crl-25015 28 12 , , PUNCT crl-25015 28 13 and and CCONJ crl-25015 28 14 only only ADV crl-25015 28 15 one one NUM crl-25015 28 16 project project NOUN crl-25015 28 17 reported report VERB crl-25015 28 18 achieving achieve VERB crl-25015 28 19 approximately approximately ADV crl-25015 28 20 50 50 NUM crl-25015 28 21 percent percent NOUN crl-25015 28 22 “ " PUNCT crl-25015 28 23 accuracy accuracy NOUN crl-25015 28 24 ” " PUNCT crl-25015 28 25 on on ADP crl-25015 28 26 limited limited ADJ crl-25015 28 27 question question NOUN crl-25015 28 28 - - PUNCT crl-25015 28 29 answering answer VERB crl-25015 28 30 tasks.11 tasks.11 NOUN crl-25015 28 31 exempting exempt VERB crl-25015 28 32 prior prior ADJ crl-25015 28 33 work work NOUN crl-25015 28 34 conducted conduct VERB crl-25015 28 35 by by ADP crl-25015 28 36 the the DET crl-25015 28 37 authors,12 authors,12 NOUN crl-25015 28 38 very very ADV crl-25015 28 39 little little ADJ crl-25015 28 40 analysis analysis NOUN crl-25015 28 41 and and CCONJ crl-25015 28 42 research research NOUN crl-25015 28 43 appears appear VERB crl-25015 28 44 to to PART crl-25015 28 45 have have AUX crl-25015 28 46 been be AUX crl-25015 28 47 conducted conduct VERB crl-25015 28 48 on on ADP crl-25015 28 49 vrs vrs PROPN crl-25015 28 50 transcripts transcript NOUN crl-25015 28 51 at at ADP crl-25015 28 52 a a DET crl-25015 28 53 large large ADJ crl-25015 28 54 scale scale NOUN crl-25015 28 55 using use VERB crl-25015 28 56 quantitative quantitative ADJ crl-25015 28 57 methods method NOUN crl-25015 28 58 . . PUNCT crl-25015 29 1 kohler kohler PROPN crl-25015 29 2 provides provide VERB crl-25015 29 3 one one NUM crl-25015 29 4 of of ADP crl-25015 29 5 the the DET crl-25015 29 6 only only ADV crl-25015 29 7 known know VERB crl-25015 29 8 examples example NOUN crl-25015 29 9 of of ADP crl-25015 29 10 analysis analysis NOUN crl-25015 29 11 using use VERB crl-25015 29 12 empirical empirical ADJ crl-25015 29 13 , , PUNCT crl-25015 29 14 algorithmic algorithmic ADJ crl-25015 29 15 using use VERB crl-25015 29 16 machine machine NOUN crl-25015 29 17 learning learning NOUN crl-25015 29 18 to to PART crl-25015 29 19 predict predict VERB crl-25015 29 20 chat chat VERB crl-25015 29 21 difficulty difficulty NOUN crl-25015 29 22 685 685 NUM crl-25015 29 23 methods method NOUN crl-25015 29 24 for for ADP crl-25015 29 25 modeling modeling NOUN crl-25015 29 26 and and CCONJ crl-25015 29 27 deriving derive VERB crl-25015 29 28 insights insight NOUN crl-25015 29 29 from from ADP crl-25015 29 30 vrs vrs PROPN crl-25015 29 31 transcripts transcript NOUN crl-25015 29 32 pertaining pertain VERB crl-25015 29 33 to to ADP crl-25015 29 34 topic topic NOUN crl-25015 29 35 - - PUNCT crl-25015 29 36 modeling modeling NOUN crl-25015 29 37 , , PUNCT crl-25015 29 38 sentiment sentiment NOUN crl-25015 29 39 analysis analysis NOUN crl-25015 29 40 , , PUNCT crl-25015 29 41 and and CCONJ crl-25015 29 42 assigning assign VERB crl-25015 29 43 difficulty difficulty NOUN crl-25015 29 44 ratings.13 ratings.13 NOUN crl-25015 29 45 of of ADP crl-25015 29 46 particular particular ADJ crl-25015 29 47 note note NOUN crl-25015 29 48 , , PUNCT crl-25015 29 49 kohler kohler NOUN crl-25015 29 50 ’s ’s PART crl-25015 29 51 research research NOUN crl-25015 29 52 provides provide VERB crl-25015 29 53 concrete concrete ADJ crl-25015 29 54 examples example NOUN crl-25015 29 55 of of ADP crl-25015 29 56 successfully successfully ADV crl-25015 29 57 using use VERB crl-25015 29 58 latent latent ADJ crl-25015 29 59 variable variable ADJ crl-25015 29 60 algorithms algorithm NOUN crl-25015 29 61 ( ( PUNCT crl-25015 29 62 examples example NOUN crl-25015 29 63 : : PUNCT crl-25015 29 64 nmf nmf PROPN crl-25015 29 65 , , PUNCT crl-25015 29 66 lda lda PROPN crl-25015 29 67 , , PUNCT crl-25015 29 68 lsa lsa NOUN crl-25015 29 69 ) ) PUNCT crl-25015 29 70 to to PART crl-25015 29 71 extract extract VERB crl-25015 29 72 and and CCONJ crl-25015 29 73 identify identify VERB crl-25015 29 74 “ " PUNCT crl-25015 29 75 topics topic NOUN crl-25015 29 76 ” " PUNCT crl-25015 29 77 that that PRON crl-25015 29 78 manifest manifest VERB crl-25015 29 79 in in ADP crl-25015 29 80 chat chat NOUN crl-25015 29 81 transcripts transcript NOUN crl-25015 29 82 and and CCONJ crl-25015 29 83 how how SCONJ crl-25015 29 84 these these DET crl-25015 29 85 latent latent ADJ crl-25015 29 86 variables variable NOUN crl-25015 29 87 can can AUX crl-25015 29 88 be be AUX crl-25015 29 89 reliably reliably ADV crl-25015 29 90 mapped map VERB crl-25015 29 91 to to PART crl-25015 29 92 read read VERB crl-25015 29 93 scale scale NOUN crl-25015 29 94 ratings rating NOUN crl-25015 29 95 ; ; PUNCT crl-25015 29 96 arguably arguably ADV crl-25015 29 97 the the DET crl-25015 29 98 most most ADV crl-25015 29 99 widespread widespread ADJ crl-25015 29 100 measure measure NOUN crl-25015 29 101 of of ADP crl-25015 29 102 “ " PUNCT crl-25015 29 103 difficulty difficulty NOUN crl-25015 29 104 ” " PUNCT crl-25015 29 105 for for ADP crl-25015 29 106 library library PROPN crl-25015 29 107 - - PUNCT crl-25015 29 108 patron patron PROPN crl-25015 29 109 inquiries.14 inquiries.14 NOUN crl-25015 29 110 unfortunately unfortunately ADV crl-25015 29 111 , , PUNCT crl-25015 29 112 since since SCONJ crl-25015 29 113 kohler kohler NOUN crl-25015 29 114 does do AUX crl-25015 29 115 not not PART crl-25015 29 116 clearly clearly ADV crl-25015 29 117 articulate articulate VERB crl-25015 29 118 exactly exactly ADV crl-25015 29 119 how how SCONJ crl-25015 29 120 individual individual ADJ crl-25015 29 121 vrs vrs NOUN crl-25015 29 122 transcripts transcript NOUN crl-25015 29 123 are be AUX crl-25015 29 124 mapped map VERB crl-25015 29 125 to to ADP crl-25015 29 126 the the DET crl-25015 29 127 read read NOUN crl-25015 29 128 scale scale NOUN crl-25015 29 129 or or CCONJ crl-25015 29 130 provide provide VERB crl-25015 29 131 any any DET crl-25015 29 132 aggregated aggregated ADJ crl-25015 29 133 metrics metric NOUN crl-25015 29 134 of of ADP crl-25015 29 135 predictive predictive ADJ crl-25015 29 136 accuracy accuracy NOUN crl-25015 29 137 , , PUNCT crl-25015 29 138 it it PRON crl-25015 29 139 is be AUX crl-25015 29 140 not not PART crl-25015 29 141 possible possible ADJ crl-25015 29 142 to to PART crl-25015 29 143 benchmark benchmark VERB crl-25015 29 144 future future ADJ crl-25015 29 145 research research NOUN crl-25015 29 146 against against ADP crl-25015 29 147 kohler kohler NOUN crl-25015 29 148 ’s ’s PART crl-25015 29 149 work.15 work.15 PROPN crl-25015 29 150 since since SCONJ crl-25015 29 151 the the DET crl-25015 29 152 research research NOUN crl-25015 29 153 goals goal NOUN crl-25015 29 154 for for ADP crl-25015 29 155 the the DET crl-25015 29 156 current current ADJ crl-25015 29 157 study study NOUN crl-25015 29 158 were be AUX crl-25015 29 159 not not PART crl-25015 29 160 focused focus VERB crl-25015 29 161 on on ADP crl-25015 29 162 topic topic NOUN crl-25015 29 163 - - PUNCT crl-25015 29 164 modeling modeling NOUN crl-25015 29 165 , , PUNCT crl-25015 29 166 other other ADJ crl-25015 29 167 methods method NOUN crl-25015 29 168 were be AUX crl-25015 29 169 identified identify VERB crl-25015 29 170 for for ADP crl-25015 29 171 the the DET crl-25015 29 172 purposes purpose NOUN crl-25015 29 173 of of ADP crl-25015 29 174 processing processing NOUN crl-25015 29 175 , , PUNCT crl-25015 29 176 computing computing NOUN crl-25015 29 177 , , PUNCT crl-25015 29 178 and and CCONJ crl-25015 29 179 modeling model VERB crl-25015 29 180 vrs vrs NOUN crl-25015 29 181 transcripts transcript NOUN crl-25015 29 182 . . PUNCT crl-25015 30 1 while while SCONJ crl-25015 30 2 the the DET crl-25015 30 3 literature literature NOUN crl-25015 30 4 surrounding surround VERB crl-25015 30 5 natural natural ADJ crl-25015 30 6 - - PUNCT crl-25015 30 7 language language NOUN crl-25015 30 8 processing processing NOUN crl-25015 30 9 techniques technique NOUN crl-25015 30 10 and and CCONJ crl-25015 30 11 methods method NOUN crl-25015 30 12 is be AUX crl-25015 30 13 immense immense ADJ crl-25015 30 14 and and CCONJ crl-25015 30 15 filled fill VERB crl-25015 30 16 with with ADP crl-25015 30 17 minor minor ADJ crl-25015 30 18 variations variation NOUN crl-25015 30 19 and and CCONJ crl-25015 30 20 improvements improvement NOUN crl-25015 30 21 upon upon SCONJ crl-25015 30 22 established established ADJ crl-25015 30 23 and and CCONJ crl-25015 30 24 foundational foundational ADJ crl-25015 30 25 methods method NOUN crl-25015 30 26 , , PUNCT crl-25015 30 27 only only ADV crl-25015 30 28 a a DET crl-25015 30 29 narrow narrow ADJ crl-25015 30 30 slice slice NOUN crl-25015 30 31 of of ADP crl-25015 30 32 the the DET crl-25015 30 33 literature literature NOUN crl-25015 30 34 is be AUX crl-25015 30 35 emphasized emphasize VERB crl-25015 30 36 here here ADV crl-25015 30 37 . . PUNCT crl-25015 31 1 the the DET crl-25015 31 2 first first ADJ crl-25015 31 3 identified identify VERB crl-25015 31 4 method method NOUN crl-25015 31 5 centers center NOUN crl-25015 31 6 on on ADP crl-25015 31 7 eliminating eliminate VERB crl-25015 31 8 infrequent infrequent ADJ crl-25015 31 9 and and CCONJ crl-25015 31 10 low low ADJ crl-25015 31 11 - - PUNCT crl-25015 31 12 value value NOUN crl-25015 31 13 words word NOUN crl-25015 31 14 using use VERB crl-25015 31 15 tf tf ADJ crl-25015 31 16 - - PUNCT crl-25015 31 17 idf idf NOUN crl-25015 31 18 metrics metric NOUN crl-25015 31 19 as as SCONJ crl-25015 31 20 described describe VERB crl-25015 31 21 by by ADP crl-25015 31 22 weiss weiss PROPN crl-25015 31 23 et et PROPN crl-25015 31 24 al.16 al.16 PROPN crl-25015 32 1 second second ADJ crl-25015 32 2 , , PUNCT crl-25015 32 3 for for ADP crl-25015 32 4 the the DET crl-25015 32 5 purposes purpose NOUN crl-25015 32 6 of of ADP crl-25015 32 7 processing processing NOUN crl-25015 32 8 and and CCONJ crl-25015 32 9 quantifying quantifying ADJ crl-25015 32 10 sentences sentence NOUN crl-25015 32 11 , , PUNCT crl-25015 32 12 mikolov mikolov NOUN crl-25015 32 13 et et PROPN crl-25015 33 1 al al PROPN crl-25015 33 2 . . PROPN crl-25015 33 3 introduced introduce VERB crl-25015 33 4 the the DET crl-25015 33 5 doc2vec doc2vec ADJ crl-25015 33 6 algorithm algorithm NOUN crl-25015 33 7 as as ADP crl-25015 33 8 a a DET crl-25015 33 9 novel novel ADJ crl-25015 33 10 approach approach NOUN crl-25015 33 11 for for ADP crl-25015 33 12 converting convert VERB crl-25015 33 13 documents document NOUN crl-25015 33 14 of of ADP crl-25015 33 15 unequal unequal ADJ crl-25015 33 16 length length NOUN crl-25015 33 17 to to ADP crl-25015 33 18 fixed fix VERB crl-25015 33 19 - - PUNCT crl-25015 33 20 length length NOUN crl-25015 33 21 vectors.17 vectors.17 NOUN crl-25015 33 22 this this DET crl-25015 33 23 approach approach NOUN crl-25015 33 24 to to ADP crl-25015 33 25 quantifying quantify VERB crl-25015 33 26 and and CCONJ crl-25015 33 27 representing represent VERB crl-25015 33 28 documents document NOUN crl-25015 33 29 has have AUX crl-25015 33 30 gained gain VERB crl-25015 33 31 traction traction NOUN crl-25015 33 32 and and CCONJ crl-25015 33 33 has have AUX crl-25015 33 34 been be AUX crl-25015 33 35 applied apply VERB crl-25015 33 36 to to ADP crl-25015 33 37 research research NOUN crl-25015 33 38 in in ADP crl-25015 33 39 clinical clinical ADJ crl-25015 33 40 , , PUNCT crl-25015 33 41 genetic genetic ADJ crl-25015 33 42 , , PUNCT crl-25015 33 43 and and CCONJ crl-25015 33 44 news news NOUN crl-25015 33 45 - - PUNCT crl-25015 33 46 journalism journalism NOUN crl-25015 33 47 fields.18 fields.18 NOUN crl-25015 33 48 lau lau NOUN crl-25015 33 49 and and CCONJ crl-25015 33 50 baldwin baldwin VERB crl-25015 33 51 provide provide VERB crl-25015 33 52 specific specific ADJ crl-25015 33 53 insights insight NOUN crl-25015 33 54 into into ADP crl-25015 33 55 useful useful ADJ crl-25015 33 56 practices practice NOUN crl-25015 33 57 for for ADP crl-25015 33 58 implementing implement VERB crl-25015 33 59 the the DET crl-25015 33 60 doc2vec doc2vec ADJ crl-25015 33 61 algorithm.19 algorithm.19 NOUN crl-25015 33 62 last last ADJ crl-25015 33 63 , , PUNCT crl-25015 33 64 research research NOUN crl-25015 33 65 has have AUX crl-25015 33 66 also also ADV crl-25015 33 67 shown show VERB crl-25015 33 68 that that SCONJ crl-25015 33 69 the the DET crl-25015 33 70 incorporation incorporation NOUN crl-25015 33 71 of of ADP crl-25015 33 72 human human NOUN crl-25015 33 73 - - PUNCT crl-25015 33 74 defined define VERB crl-25015 33 75 ontologies ontology NOUN crl-25015 33 76 in in ADP crl-25015 33 77 the the DET crl-25015 33 78 form form NOUN crl-25015 33 79 of of ADP crl-25015 33 80 tags tag NOUN crl-25015 33 81 and and CCONJ crl-25015 33 82 labels label NOUN crl-25015 33 83 provides provide VERB crl-25015 33 84 much much ADV crl-25015 33 85 - - PUNCT crl-25015 33 86 needed need VERB crl-25015 33 87 structure structure NOUN crl-25015 33 88 to to PART crl-25015 33 89 text text VERB crl-25015 33 90 analysis analysis NOUN crl-25015 33 91 tasks.20 tasks.20 X crl-25015 33 92 this this PRON crl-25015 33 93 is be AUX crl-25015 33 94 reinforced reinforce VERB crl-25015 33 95 by by ADP crl-25015 33 96 results result NOUN crl-25015 33 97 derived derive VERB crl-25015 33 98 from from ADP crl-25015 33 99 prior prior ADJ crl-25015 33 100 work work NOUN crl-25015 33 101 indicating indicate VERB crl-25015 33 102 that that SCONJ crl-25015 33 103 the the DET crl-25015 33 104 incorporation incorporation NOUN crl-25015 33 105 of of ADP crl-25015 33 106 ontology ontology NOUN crl-25015 33 107 and and CCONJ crl-25015 33 108 domain domain NOUN crl-25015 33 109 - - PUNCT crl-25015 33 110 knowledge knowledge NOUN crl-25015 33 111 into into ADP crl-25015 33 112 predictive predictive ADJ crl-25015 33 113 models model NOUN crl-25015 33 114 focusing focus VERB crl-25015 33 115 on on ADP crl-25015 33 116 vrs vrs PROPN crl-25015 33 117 transcripts transcript NOUN crl-25015 33 118 has have VERB crl-25015 33 119 a a DET crl-25015 33 120 clear clear ADJ crl-25015 33 121 , , PUNCT crl-25015 33 122 positive positive ADJ crl-25015 33 123 , , PUNCT crl-25015 33 124 and and CCONJ crl-25015 33 125 statistically statistically ADV crl-25015 33 126 significant significant ADJ crl-25015 33 127 impact impact NOUN crl-25015 33 128 on on ADP crl-25015 33 129 overall overall ADJ crl-25015 33 130 model model NOUN crl-25015 33 131 performance.21 performance.21 NOUN crl-25015 33 132 taken take VERB crl-25015 33 133 as as ADP crl-25015 33 134 a a DET crl-25015 33 135 whole whole NOUN crl-25015 33 136 , , PUNCT crl-25015 33 137 this this DET crl-25015 33 138 suite suite NOUN crl-25015 33 139 of of ADP crl-25015 33 140 methods method NOUN crl-25015 33 141 represents represent VERB crl-25015 33 142 the the DET crl-25015 33 143 foundation foundation NOUN crl-25015 33 144 of of ADP crl-25015 33 145 the the DET crl-25015 33 146 modeling modeling NOUN crl-25015 33 147 processes process NOUN crl-25015 33 148 implemented implement VERB crl-25015 33 149 by by ADP crl-25015 33 150 the the DET crl-25015 33 151 authors author NOUN crl-25015 33 152 in in ADP crl-25015 33 153 prior prior ADJ crl-25015 33 154 work work NOUN crl-25015 33 155 and and CCONJ crl-25015 33 156 the the DET crl-25015 33 157 experimental experimental ADJ crl-25015 33 158 design design NOUN crl-25015 33 159 laid lay VERB crl-25015 33 160 out out ADP crl-25015 33 161 in in ADP crl-25015 33 162 this this DET crl-25015 33 163 paper.22 paper.22 NOUN crl-25015 33 164 methods method NOUN crl-25015 33 165 this this DET crl-25015 33 166 study study NOUN crl-25015 33 167 was be AUX crl-25015 33 168 conducted conduct VERB crl-25015 33 169 using use VERB crl-25015 33 170 a a DET crl-25015 33 171 dataset dataset NOUN crl-25015 33 172 collected collect VERB crl-25015 33 173 at at ADP crl-25015 33 174 kansas kansas PROPN crl-25015 33 175 state state PROPN crl-25015 33 176 university university PROPN crl-25015 33 177 libraries library NOUN crl-25015 33 178 ( ( PUNCT crl-25015 33 179 ksul ksul PROPN crl-25015 33 180 ) ) PUNCT crl-25015 33 181 . . PUNCT crl-25015 34 1 at at ADP crl-25015 34 2 ksul ksul PROPN crl-25015 34 3 , , PUNCT crl-25015 34 4 a a DET crl-25015 34 5 combination combination NOUN crl-25015 34 6 of of ADP crl-25015 34 7 librarian librarian ADJ crl-25015 34 8 faculty faculty NOUN crl-25015 34 9 , , PUNCT crl-25015 34 10 specialists specialist NOUN crl-25015 34 11 , , PUNCT crl-25015 34 12 staff staff NOUN crl-25015 34 13 , , PUNCT crl-25015 34 14 and and CCONJ crl-25015 34 15 students student NOUN crl-25015 34 16 provide provide VERB crl-25015 34 17 varying vary VERB crl-25015 34 18 levels level NOUN crl-25015 34 19 of of ADP crl-25015 34 20 patron patron NOUN crl-25015 34 21 services service NOUN crl-25015 34 22 referred refer VERB crl-25015 34 23 to to ADP crl-25015 34 24 as as ADP crl-25015 34 25 “ " PUNCT crl-25015 34 26 ask ask VERB crl-25015 34 27 - - PUNCT crl-25015 34 28 a a DET crl-25015 34 29 - - PUNCT crl-25015 34 30 librarian librarian NOUN crl-25015 34 31 . . PUNCT crl-25015 34 32 ” " PUNCT crl-25015 35 1 as as ADP crl-25015 35 2 a a DET crl-25015 35 3 subset subset NOUN crl-25015 35 4 of of ADP crl-25015 35 5 these these DET crl-25015 35 6 service service NOUN crl-25015 35 7 operations operation NOUN crl-25015 35 8 , , PUNCT crl-25015 35 9 ksul ksul PROPN crl-25015 35 10 operates operate VERB crl-25015 35 11 a a DET crl-25015 35 12 chat chat NOUN crl-25015 35 13 reference reference NOUN crl-25015 35 14 service service NOUN crl-25015 35 15 using use VERB crl-25015 35 16 the the DET crl-25015 35 17 libraryh3lp libraryh3lp PROPN crl-25015 35 18 software software NOUN crl-25015 35 19 embedded embed VERB crl-25015 35 20 throughout throughout ADP crl-25015 35 21 ksul ksul PROPN crl-25015 35 22 ’s ’s PART crl-25015 35 23 webpages webpage NOUN crl-25015 35 24 . . PUNCT crl-25015 36 1 the the DET crl-25015 36 2 raw raw ADJ crl-25015 36 3 dataset dataset NOUN crl-25015 36 4 used use VERB crl-25015 36 5 in in ADP crl-25015 36 6 this this DET crl-25015 36 7 study study NOUN crl-25015 36 8 consists consist VERB crl-25015 36 9 of of ADP crl-25015 36 10 15,690 15,690 NUM crl-25015 36 11 individual individual ADJ crl-25015 36 12 samples sample NOUN crl-25015 36 13 collected collect VERB crl-25015 36 14 between between ADP crl-25015 36 15 august august PROPN crl-25015 36 16 2013 2013 NUM crl-25015 36 17 and and CCONJ crl-25015 36 18 march march PROPN crl-25015 36 19 2018 2018 NUM crl-25015 36 20 . . PUNCT crl-25015 37 1 each each DET crl-25015 37 2 individual individual ADJ crl-25015 37 3 sample sample NOUN crl-25015 37 4 represents represent VERB crl-25015 37 5 a a DET crl-25015 37 6 unique unique ADJ crl-25015 37 7 vrs vrs NOUN crl-25015 37 8 chat chat NOUN crl-25015 37 9 transcript transcript NOUN crl-25015 37 10 and and CCONJ crl-25015 37 11 accompanying accompany VERB crl-25015 37 12 metadata metadata PROPN crl-25015 37 13 . . PUNCT crl-25015 38 1 this this DET crl-25015 38 2 data data NOUN crl-25015 38 3 was be AUX crl-25015 38 4 and and CCONJ crl-25015 38 5 continues continue VERB crl-25015 38 6 to to PART crl-25015 38 7 be be AUX crl-25015 38 8 created create VERB crl-25015 38 9 as as SCONJ crl-25015 38 10 individual individual ADJ crl-25015 38 11 vrs vrs PROPN crl-25015 38 12 operators operator NOUN crl-25015 38 13 record record NOUN crl-25015 38 14 chat chat VERB crl-25015 38 15 transcripts transcript NOUN crl-25015 38 16 in in ADP crl-25015 38 17 ksul ksul PROPN crl-25015 38 18 ’s ’s PART crl-25015 38 19 reference reference NOUN crl-25015 38 20 tracking tracking NOUN crl-25015 38 21 system system NOUN crl-25015 38 22 ( ( PUNCT crl-25015 38 23 libinsight libinsight NOUN crl-25015 38 24 ) ) PUNCT crl-25015 38 25 at at ADP crl-25015 38 26 the the DET crl-25015 38 27 conclusion conclusion NOUN crl-25015 38 28 of of ADP crl-25015 38 29 each each DET crl-25015 38 30 individual individual ADJ crl-25015 38 31 interaction interaction NOUN crl-25015 38 32 . . PUNCT crl-25015 39 1 when when SCONJ crl-25015 39 2 logging log VERB crl-25015 39 3 submissions submission NOUN crl-25015 39 4 in in ADP crl-25015 39 5 libinsight libinsight NOUN crl-25015 39 6 , , PUNCT crl-25015 39 7 vrs vrs PROPN crl-25015 39 8 operators operator NOUN crl-25015 39 9 at at ADP crl-25015 39 10 ksul ksul NOUN crl-25015 39 11 are be AUX crl-25015 39 12 expected expect VERB crl-25015 39 13 to to PART crl-25015 39 14 record record VERB crl-25015 39 15 additional additional ADJ crl-25015 39 16 information information NOUN crl-25015 39 17 such such ADJ crl-25015 39 18 as as ADP crl-25015 39 19 question question NOUN crl-25015 39 20 type type NOUN crl-25015 39 21 , , PUNCT crl-25015 39 22 read read NOUN crl-25015 39 23 scale scale NOUN crl-25015 39 24 , , PUNCT crl-25015 39 25 and and CCONJ crl-25015 39 26 time time NOUN crl-25015 39 27 spent spend VERB crl-25015 39 28 in in ADP crl-25015 39 29 addition addition NOUN crl-25015 39 30 to to ADP crl-25015 39 31 the the DET crl-25015 39 32 raw raw ADJ crl-25015 39 33 text text NOUN crl-25015 39 34 of of ADP crl-25015 39 35 the the DET crl-25015 39 36 entire entire ADJ crl-25015 39 37 chat chat NOUN crl-25015 39 38 transcript transcript NOUN crl-25015 39 39 . . PUNCT crl-25015 40 1 by by ADP crl-25015 40 2 default default NOUN crl-25015 40 3 , , PUNCT crl-25015 40 4 all all DET crl-25015 40 5 vrs vrs NOUN crl-25015 40 6 interactions interaction NOUN crl-25015 40 7 between between ADP crl-25015 40 8 users user NOUN crl-25015 40 9 and and CCONJ crl-25015 40 10 operators operator NOUN crl-25015 40 11 are be AUX crl-25015 40 12 anonymous anonymous ADJ crl-25015 40 13 , , PUNCT crl-25015 40 14 and and CCONJ crl-25015 40 15 users user NOUN crl-25015 40 16 have have VERB crl-25015 40 17 the the DET crl-25015 40 18 reasonable reasonable ADJ crl-25015 40 19 expectation expectation NOUN crl-25015 40 20 of of ADP crl-25015 40 21 anonymity anonymity NOUN crl-25015 40 22 and and CCONJ crl-25015 40 23 confidentiality confidentiality NOUN crl-25015 40 24 with with ADP crl-25015 40 25 respect respect NOUN crl-25015 40 26 to to ADP crl-25015 40 27 using use VERB crl-25015 40 28 ksul ksul PROPN crl-25015 40 29 ’s ’s PART crl-25015 40 30 vrs vrs PROPN crl-25015 40 31 system system NOUN crl-25015 40 32 . . PUNCT crl-25015 41 1 in in ADP crl-25015 41 2 the the DET crl-25015 41 3 event event NOUN crl-25015 41 4 that that PRON crl-25015 41 5 personally personally ADV crl-25015 41 6 identifying identify VERB crl-25015 41 7 information information NOUN crl-25015 41 8 is be AUX crl-25015 41 9 present present ADJ crl-25015 41 10 in in ADP crl-25015 41 11 an an DET crl-25015 41 12 individual individual ADJ crl-25015 41 13 transcript transcript NOUN crl-25015 41 14 , , PUNCT crl-25015 41 15 operators operator NOUN crl-25015 41 16 are be AUX crl-25015 41 17 expected expect VERB crl-25015 41 18 to to PART crl-25015 41 19 manually manually ADV crl-25015 41 20 redact redact VERB crl-25015 41 21 such such ADJ crl-25015 41 22 information information NOUN crl-25015 41 23 when when SCONJ crl-25015 41 24 recording record VERB crl-25015 41 25 data datum NOUN crl-25015 41 26 in in ADP crl-25015 41 27 libinsight libinsight NOUN crl-25015 41 28 . . PUNCT crl-25015 42 1 686 686 NUM crl-25015 42 2 college college PROPN crl-25015 42 3 & & CCONJ crl-25015 42 4 research research PROPN crl-25015 42 5 libraries library NOUN crl-25015 42 6 july july PROPN crl-25015 42 7 2021 2021 NUM crl-25015 42 8 institutional institutional ADJ crl-25015 42 9 review review NOUN crl-25015 42 10 board board NOUN crl-25015 42 11 ( ( PUNCT crl-25015 42 12 irb irb VERB crl-25015 42 13 ) ) PUNCT crl-25015 42 14 approval approval NOUN crl-25015 42 15 to to PART crl-25015 42 16 use use VERB crl-25015 42 17 this this DET crl-25015 42 18 dataset dataset NOUN crl-25015 42 19 for for ADP crl-25015 42 20 research research NOUN crl-25015 42 21 was be AUX crl-25015 42 22 granted grant VERB crl-25015 42 23 at at ADP crl-25015 42 24 georgia georgia PROPN crl-25015 42 25 state state PROPN crl-25015 42 26 university university PROPN crl-25015 42 27 where where SCONJ crl-25015 42 28 the the DET crl-25015 42 29 study study NOUN crl-25015 42 30 was be AUX crl-25015 42 31 exempted exempt VERB crl-25015 42 32 from from ADP crl-25015 42 33 further further ADJ crl-25015 42 34 review review NOUN crl-25015 42 35 . . PUNCT crl-25015 43 1 the the DET crl-25015 43 2 irb irb NOUN crl-25015 43 3 at at ADP crl-25015 43 4 kansas kansas PROPN crl-25015 43 5 state state PROPN crl-25015 43 6 university university PROPN crl-25015 43 7 also also ADV crl-25015 43 8 granted grant VERB crl-25015 43 9 approval approval NOUN crl-25015 43 10 to to PART crl-25015 43 11 use use VERB crl-25015 43 12 this this DET crl-25015 43 13 dataset dataset NOUN crl-25015 43 14 for for ADP crl-25015 43 15 research research NOUN crl-25015 43 16 and and CCONJ crl-25015 43 17 exempted exempt VERB crl-25015 43 18 the the DET crl-25015 43 19 study study NOUN crl-25015 43 20 from from ADP crl-25015 43 21 further further ADJ crl-25015 43 22 review review NOUN crl-25015 43 23 . . PUNCT crl-25015 44 1 all all DET crl-25015 44 2 modeling modeling NOUN crl-25015 44 3 , , PUNCT crl-25015 44 4 experimental experimental ADJ crl-25015 44 5 design design NOUN crl-25015 44 6 , , PUNCT crl-25015 44 7 and and CCONJ crl-25015 44 8 analyses analysis NOUN crl-25015 44 9 were be AUX crl-25015 44 10 conducted conduct VERB crl-25015 44 11 using use VERB crl-25015 44 12 the the DET crl-25015 44 13 python python NOUN crl-25015 44 14 programming programming NOUN crl-25015 44 15 language language NOUN crl-25015 44 16 . . PUNCT crl-25015 45 1 the the DET crl-25015 45 2 pandas panda NOUN crl-25015 45 3 and and CCONJ crl-25015 45 4 scipy scipy ADJ crl-25015 45 5 modules module NOUN crl-25015 45 6 were be AUX crl-25015 45 7 used use VERB crl-25015 45 8 extensively extensively ADV crl-25015 45 9 to to PART crl-25015 45 10 prepare prepare VERB crl-25015 45 11 and and CCONJ crl-25015 45 12 transform transform VERB crl-25015 45 13 data datum NOUN crl-25015 45 14 and and CCONJ crl-25015 45 15 produce produce VERB crl-25015 45 16 descriptive descriptive ADJ crl-25015 45 17 statistical statistical ADJ crl-25015 45 18 information.23 information.23 VERB crl-25015 45 19 the the DET crl-25015 45 20 scikit scikit NOUN crl-25015 45 21 - - PUNCT crl-25015 45 22 learn learn NOUN crl-25015 45 23 and and CCONJ crl-25015 45 24 gensim gensim NOUN crl-25015 45 25 packages package NOUN crl-25015 45 26 were be AUX crl-25015 45 27 used use VERB crl-25015 45 28 extensively extensively ADV crl-25015 45 29 for for ADP crl-25015 45 30 text text NOUN crl-25015 45 31 processing processing NOUN crl-25015 45 32 and and CCONJ crl-25015 45 33 modeling.24 modeling.24 NOUN crl-25015 45 34 statistical statistical ADJ crl-25015 45 35 plots plot NOUN crl-25015 45 36 were be AUX crl-25015 45 37 generated generate VERB crl-25015 45 38 using use VERB crl-25015 45 39 the the DET crl-25015 45 40 seaborn seaborn ADJ crl-25015 45 41 package.25 package.25 NOUN crl-25015 45 42 for for ADP crl-25015 45 43 full full ADJ crl-25015 45 44 code code NOUN crl-25015 45 45 used use VERB crl-25015 45 46 to to PART crl-25015 45 47 conduct conduct VERB crl-25015 45 48 analysis analysis NOUN crl-25015 45 49 , , PUNCT crl-25015 45 50 see see VERB crl-25015 45 51 supplementary supplementary ADJ crl-25015 45 52 code code NOUN crl-25015 45 53 file file NOUN crl-25015 45 54 . . PUNCT crl-25015 46 1 overall overall ADJ crl-25015 46 2 model model NOUN crl-25015 46 3 structure structure NOUN crl-25015 46 4 and and CCONJ crl-25015 46 5 experimental experimental ADJ crl-25015 46 6 design design NOUN crl-25015 46 7 to to PART crl-25015 46 8 experiment experiment VERB crl-25015 46 9 with with ADP crl-25015 46 10 and and CCONJ crl-25015 46 11 evaluate evaluate VERB crl-25015 46 12 the the DET crl-25015 46 13 utility utility NOUN crl-25015 46 14 of of ADP crl-25015 46 15 developing develop VERB crl-25015 46 16 predictive predictive ADJ crl-25015 46 17 models model NOUN crl-25015 46 18 , , PUNCT crl-25015 46 19 the the DET crl-25015 46 20 authors author NOUN crl-25015 46 21 developed develop VERB crl-25015 46 22 a a DET crl-25015 46 23 multistage multistage NOUN crl-25015 46 24 modeling modeling NOUN crl-25015 46 25 process process NOUN crl-25015 46 26 ( ( PUNCT crl-25015 46 27 see see VERB crl-25015 46 28 figure figure NOUN crl-25015 46 29 1 1 NUM crl-25015 46 30 ) ) PUNCT crl-25015 46 31 that that PRON crl-25015 46 32 would would AUX crl-25015 46 33 preprocess preprocess VERB crl-25015 46 34 all all DET crl-25015 46 35 vrs vrs NOUN crl-25015 46 36 transcripts transcript NOUN crl-25015 46 37 into into ADP crl-25015 46 38 a a DET crl-25015 46 39 form form NOUN crl-25015 46 40 suited suit VERB crl-25015 46 41 for for ADP crl-25015 46 42 text text NOUN crl-25015 46 43 analysis analysis NOUN crl-25015 46 44 and and CCONJ crl-25015 46 45 splitting split VERB crl-25015 46 46 the the DET crl-25015 46 47 data datum NOUN crl-25015 46 48 into into ADP crl-25015 46 49 “ " PUNCT crl-25015 46 50 training training NOUN crl-25015 46 51 ” " PUNCT crl-25015 46 52 and and CCONJ crl-25015 46 53 “ " PUNCT crl-25015 46 54 test test NOUN crl-25015 46 55 ” " PUNCT crl-25015 46 56 subsets subset NOUN crl-25015 46 57 ( ( PUNCT crl-25015 46 58 split split NOUN crl-25015 46 59 ) ) PUNCT crl-25015 46 60 . . PUNCT crl-25015 47 1 then then ADV crl-25015 47 2 all all DET crl-25015 47 3 vrs vrs VERB crl-25015 47 4 transcripts transcript NOUN crl-25015 47 5 were be AUX crl-25015 47 6 processed process VERB crl-25015 47 7 according accord VERB crl-25015 47 8 to to ADP crl-25015 47 9 a a DET crl-25015 47 10 variety variety NOUN crl-25015 47 11 of of ADP crl-25015 47 12 modeling modeling NOUN crl-25015 47 13 parameters parameter NOUN crl-25015 47 14 . . PUNCT crl-25015 48 1 for for ADP crl-25015 48 2 the the DET crl-25015 48 3 figure figure NOUN crl-25015 48 4 1 1 NUM crl-25015 48 5 overall overall ADJ crl-25015 48 6 modeling modeling NOUN crl-25015 48 7 process process NOUN crl-25015 48 8 using use VERB crl-25015 48 9 machine machine NOUN crl-25015 48 10 learning learning NOUN crl-25015 48 11 to to PART crl-25015 48 12 predict predict VERB crl-25015 48 13 chat chat VERB crl-25015 48 14 difficulty difficulty NOUN crl-25015 48 15 687 687 NUM crl-25015 48 16 entire entire ADJ crl-25015 48 17 dataset dataset NOUN crl-25015 48 18 , , PUNCT crl-25015 48 19 the the DET crl-25015 48 20 entire entire ADJ crl-25015 48 21 modeling modeling NOUN crl-25015 48 22 process process NOUN crl-25015 48 23 was be AUX crl-25015 48 24 run run VERB crl-25015 48 25 one one NUM crl-25015 48 26 time time NOUN crl-25015 48 27 for for ADP crl-25015 48 28 every every DET crl-25015 48 29 possible possible ADJ crl-25015 48 30 combination combination NOUN crl-25015 48 31 of of ADP crl-25015 48 32 modeling modeling NOUN crl-25015 48 33 parameters parameter NOUN crl-25015 48 34 , , PUNCT crl-25015 48 35 resulting result VERB crl-25015 48 36 in in ADP crl-25015 48 37 predictive predictive ADJ crl-25015 48 38 analytics analytic NOUN crl-25015 48 39 data datum NOUN crl-25015 48 40 for for ADP crl-25015 48 41 640 640 NUM crl-25015 48 42 unique unique ADJ crl-25015 48 43 models model NOUN crl-25015 48 44 . . PUNCT crl-25015 49 1 in in ADP crl-25015 49 2 the the DET crl-25015 49 3 overall overall ADJ crl-25015 49 4 modeling modeling NOUN crl-25015 49 5 process process NOUN crl-25015 49 6 and and CCONJ crl-25015 49 7 core core NOUN crl-25015 49 8 experimental experimental ADJ crl-25015 49 9 design design NOUN crl-25015 49 10 , , PUNCT crl-25015 49 11 individual individual ADJ crl-25015 49 12 transcripts transcript NOUN crl-25015 49 13 were be AUX crl-25015 49 14 truncated truncate VERB crl-25015 49 15 to to ADP crl-25015 49 16 just just ADV crl-25015 49 17 the the DET crl-25015 49 18 few few ADJ crl-25015 49 19 words word NOUN crl-25015 49 20 of of ADP crl-25015 49 21 patron patron NOUN crl-25015 49 22 - - PUNCT crl-25015 49 23 supplied supply VERB crl-25015 49 24 text text NOUN crl-25015 49 25 ( ( PUNCT crl-25015 49 26 trunc trunc NOUN crl-25015 49 27 ) ) PUNCT crl-25015 49 28 , , PUNCT crl-25015 49 29 tagged tag VERB crl-25015 49 30 with with ADP crl-25015 49 31 qualitative qualitative ADJ crl-25015 49 32 labels label NOUN crl-25015 49 33 ( ( PUNCT crl-25015 49 34 tag tag NOUN crl-25015 49 35 ) ) PUNCT crl-25015 49 36 , , PUNCT crl-25015 49 37 modified modify VERB crl-25015 49 38 to to PART crl-25015 49 39 filter filter VERB crl-25015 49 40 out out ADP crl-25015 49 41 infrequent infrequent ADJ crl-25015 49 42 terms term NOUN crl-25015 49 43 ( ( PUNCT crl-25015 49 44 dict dict INTJ crl-25015 49 45 ) ) PUNCT crl-25015 49 46 , , PUNCT crl-25015 49 47 transformed transform VERB crl-25015 49 48 into into ADP crl-25015 49 49 document document NOUN crl-25015 49 50 - - PUNCT crl-25015 49 51 embeddings embedding NOUN crl-25015 49 52 with with ADP crl-25015 49 53 fixed fix VERB crl-25015 49 54 - - PUNCT crl-25015 49 55 length length NOUN crl-25015 49 56 vector vector NOUN crl-25015 49 57 representations representation NOUN crl-25015 49 58 ( ( PUNCT crl-25015 49 59 d2v d2v NOUN crl-25015 49 60 ) ) PUNCT crl-25015 49 61 , , PUNCT crl-25015 49 62 and and CCONJ crl-25015 49 63 then then ADV crl-25015 49 64 processed process VERB crl-25015 49 65 through through ADP crl-25015 49 66 a a DET crl-25015 49 67 very very ADV crl-25015 49 68 simple simple ADJ crl-25015 49 69 neural neural ADJ crl-25015 49 70 network network NOUN crl-25015 49 71 classifier classifier NOUN crl-25015 49 72 that that PRON crl-25015 49 73 would would AUX crl-25015 49 74 predict predict VERB crl-25015 49 75 the the DET crl-25015 49 76 relative relative ADJ crl-25015 49 77 difficulty difficulty NOUN crl-25015 49 78 of of ADP crl-25015 49 79 the the DET crl-25015 49 80 vrs vrs PROPN crl-25015 49 81 interaction interaction NOUN crl-25015 49 82 using use VERB crl-25015 49 83 transformed transform VERB crl-25015 49 84 read read NOUN crl-25015 49 85 scale scale NOUN crl-25015 49 86 ratings rating NOUN crl-25015 49 87 ( ( PUNCT crl-25015 49 88 read read VERB crl-25015 49 89 ) ) PUNCT crl-25015 49 90 as as ADP crl-25015 49 91 the the DET crl-25015 49 92 formal formal ADJ crl-25015 49 93 representation representation NOUN crl-25015 49 94 difficulty difficulty NOUN crl-25015 49 95 of of ADP crl-25015 49 96 and and CCONJ crl-25015 49 97 final final ADJ crl-25015 49 98 dependent dependent ADJ crl-25015 49 99 variable variable NOUN crl-25015 49 100 in in ADP crl-25015 49 101 the the DET crl-25015 49 102 modeling modeling NOUN crl-25015 49 103 process process NOUN crl-25015 49 104 . . PUNCT crl-25015 50 1 since since SCONJ crl-25015 50 2 some some PRON crl-25015 50 3 of of ADP crl-25015 50 4 the the DET crl-25015 50 5 modeling modeling NOUN crl-25015 50 6 processes process NOUN crl-25015 50 7 and and CCONJ crl-25015 50 8 algorithms algorithm NOUN crl-25015 50 9 required require VERB crl-25015 50 10 randomly randomly ADV crl-25015 50 11 initialized initialize VERB crl-25015 50 12 states state NOUN crl-25015 50 13 , , PUNCT crl-25015 50 14 a a DET crl-25015 50 15 variable variable ADJ crl-25015 50 16 random random ADJ crl-25015 50 17 parameter parameter NOUN crl-25015 50 18 ( ( PUNCT crl-25015 50 19 rand rand PROPN crl-25015 50 20 ) ) PUNCT crl-25015 50 21 was be AUX crl-25015 50 22 used use VERB crl-25015 50 23 to to PART crl-25015 50 24 seed seed VERB crl-25015 50 25 the the DET crl-25015 50 26 random random ADJ crl-25015 50 27 state state NOUN crl-25015 50 28 for for ADP crl-25015 50 29 each each DET crl-25015 50 30 individual individual ADJ crl-25015 50 31 run run NOUN crl-25015 50 32 of of ADP crl-25015 50 33 the the DET crl-25015 50 34 modeling modeling NOUN crl-25015 50 35 process process NOUN crl-25015 50 36 . . PUNCT crl-25015 51 1 ultimately ultimately ADV crl-25015 51 2 the the DET crl-25015 51 3 final final ADJ crl-25015 51 4 predictions prediction NOUN crl-25015 51 5 for for ADP crl-25015 51 6 both both CCONJ crl-25015 51 7 the the DET crl-25015 51 8 training training NOUN crl-25015 51 9 - - PUNCT crl-25015 51 10 data data NOUN crl-25015 51 11 and and CCONJ crl-25015 51 12 test test NOUN crl-25015 51 13 - - PUNCT crl-25015 51 14 data datum NOUN crl-25015 51 15 for for ADP crl-25015 51 16 each each DET crl-25015 51 17 individual individual ADJ crl-25015 51 18 model model NOUN crl-25015 51 19 were be AUX crl-25015 51 20 evaluated evaluate VERB crl-25015 51 21 using use VERB crl-25015 51 22 receiver receiver NOUN crl-25015 51 23 operating operating NOUN crl-25015 51 24 characteristics characteristic NOUN crl-25015 51 25 ’ ' PUNCT crl-25015 51 26 ( ( PUNCT crl-25015 51 27 roc roc PROPN crl-25015 51 28 ) ) PUNCT crl-25015 51 29 area area NOUN crl-25015 51 30 under under ADP crl-25015 51 31 the the DET crl-25015 51 32 curve curve NOUN crl-25015 51 33 ( ( PUNCT crl-25015 51 34 auc).26 auc).26 SCONJ crl-25015 51 35 the the DET crl-25015 51 36 auc auc NOUN crl-25015 51 37 scores score NOUN crl-25015 51 38 provided provide VERB crl-25015 51 39 the the DET crl-25015 51 40 core core NOUN crl-25015 51 41 performance performance NOUN crl-25015 51 42 metric metric ADJ crl-25015 51 43 for for ADP crl-25015 51 44 evaluating evaluate VERB crl-25015 51 45 the the DET crl-25015 51 46 predictive predictive ADJ crl-25015 51 47 power power NOUN crl-25015 51 48 of of ADP crl-25015 51 49 individual individual ADJ crl-25015 51 50 model model NOUN crl-25015 51 51 formulations formulation NOUN crl-25015 51 52 . . PUNCT crl-25015 52 1 prior prior ADV crl-25015 52 2 to to ADP crl-25015 52 3 modeling modeling NOUN crl-25015 52 4 , , PUNCT crl-25015 52 5 the the DET crl-25015 52 6 raw raw ADJ crl-25015 52 7 transcripts transcript NOUN crl-25015 52 8 required require VERB crl-25015 52 9 extensive extensive ADJ crl-25015 52 10 work work NOUN crl-25015 52 11 to to PART crl-25015 52 12 transform transform VERB crl-25015 52 13 into into ADP crl-25015 52 14 a a DET crl-25015 52 15 usable usable ADJ crl-25015 52 16 format format NOUN crl-25015 52 17 . . PUNCT crl-25015 53 1 the the DET crl-25015 53 2 raw raw ADJ crl-25015 53 3 , , PUNCT crl-25015 53 4 unformatted unformatted ADJ crl-25015 53 5 transcripts transcript NOUN crl-25015 53 6 were be AUX crl-25015 53 7 exported export VERB crl-25015 53 8 from from ADP crl-25015 53 9 libinsight libinsight NOUN crl-25015 53 10 and and CCONJ crl-25015 53 11 stored store VERB crl-25015 53 12 as as ADV crl-25015 53 13 plain plain ADJ crl-25015 53 14 text text NOUN crl-25015 53 15 in in ADP crl-25015 53 16 the the DET crl-25015 53 17 form form NOUN crl-25015 53 18 shown show VERB crl-25015 53 19 in in ADP crl-25015 53 20 figure figure NOUN crl-25015 53 21 2 2 NUM crl-25015 53 22 . . PROPN crl-25015 53 23 code code PROPN crl-25015 53 24 was be AUX crl-25015 53 25 then then ADV crl-25015 53 26 written write VERB crl-25015 53 27 to to PART crl-25015 53 28 automatically automatically ADV crl-25015 53 29 parse parse VERB crl-25015 53 30 and and CCONJ crl-25015 53 31 organize organize VERB crl-25015 53 32 each each DET crl-25015 53 33 transcript transcript NOUN crl-25015 53 34 into into ADP crl-25015 53 35 the the DET crl-25015 53 36 form form NOUN crl-25015 53 37 shown show VERB crl-25015 53 38 in in ADP crl-25015 53 39 figure figure NOUN crl-25015 53 40 3 3 NUM crl-25015 53 41 . . PUNCT crl-25015 53 42 figure figure VERB crl-25015 53 43 2 2 NUM crl-25015 53 44 raw raw ADJ crl-25015 53 45 vrs vrs PROPN crl-25015 53 46 transcript transcript NOUN crl-25015 53 47 9:00 9:00 NUM crl-25015 53 48 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 54 1 i i PRON crl-25015 54 2 'm be AUX crl-25015 54 3 looking look VERB crl-25015 54 4 for for ADP crl-25015 54 5 a a DET crl-25015 54 6 19th 19th ADJ crl-25015 54 7 century century NOUN crl-25015 54 8 article article NOUN crl-25015 54 9 about about ADP crl-25015 54 10 women woman NOUN crl-25015 54 11 fashion fashion NOUN crl-25015 54 12 in in ADP crl-25015 54 13 france france PROPN crl-25015 54 14 but but CCONJ crl-25015 54 15 ca can AUX crl-25015 54 16 nt not PART crl-25015 54 17 seem seem VERB crl-25015 54 18 to to PART crl-25015 54 19 find find VERB crl-25015 54 20 anything anything PRON crl-25015 54 21 ? ? PUNCT crl-25015 55 1 do do AUX crl-25015 55 2 you you PRON crl-25015 55 3 have have VERB crl-25015 55 4 any any DET crl-25015 55 5 good good ADJ crl-25015 55 6 links link NOUN crl-25015 55 7 ? ? PUNCT crl-25015 56 1 9:00 9:00 NUM crl-25015 56 2 me i PRON crl-25015 57 1 hello hello INTJ crl-25015 57 2 9:01 9:01 NUM crl-25015 57 3 me i PRON crl-25015 57 4 hmm hmm NOUN crl-25015 57 5 ... ... PUNCT crl-25015 57 6 i i PRON crl-25015 57 7 have have VERB crl-25015 57 8 a a DET crl-25015 57 9 few few ADJ crl-25015 57 10 ideas idea NOUN crl-25015 57 11 ! ! PUNCT crl-25015 58 1 9:01 9:01 NUM crl-25015 58 2 me i PRON crl-25015 58 3 are be AUX crl-25015 58 4 you you PRON crl-25015 58 5 looking look VERB crl-25015 58 6 for for ADP crl-25015 58 7 articles article NOUN crl-25015 58 8 that that PRON crl-25015 58 9 are be AUX crl-25015 58 10 about about ADP crl-25015 58 11 19th 19th ADJ crl-25015 58 12 centruy centruy ADJ crl-25015 58 13 french french ADJ crl-25015 58 14 fashion fashion NOUN crl-25015 58 15 or or CCONJ crl-25015 58 16 articles article NOUN crl-25015 58 17 written write VERB crl-25015 58 18 in in ADP crl-25015 58 19 the the DET crl-25015 58 20 19th 19th ADJ crl-25015 58 21 century century NOUN crl-25015 58 22 about about ADP crl-25015 58 23 french french ADJ crl-25015 58 24 fashion fashion NOUN crl-25015 58 25 ? ? PUNCT crl-25015 59 1 ( ( PUNCT crl-25015 59 2 the the DET crl-25015 59 3 former former ADJ crl-25015 59 4 will will AUX crl-25015 59 5 definitely definitely ADV crl-25015 59 6 be be AUX crl-25015 59 7 easier easy ADJ crl-25015 59 8 i i PRON crl-25015 59 9 think think VERB crl-25015 59 10 ) ) PUNCT crl-25015 59 11 9:02 9:02 NUM crl-25015 59 12 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 59 13 i i PRON crl-25015 59 14 am be AUX crl-25015 59 15 looking look VERB crl-25015 59 16 for for ADP crl-25015 59 17 scholarly scholarly ADJ crl-25015 59 18 articles article NOUN crl-25015 59 19 about about ADP crl-25015 59 20 19th 19th ADJ crl-25015 59 21 century century NOUN crl-25015 59 22 french french PROPN crl-25015 59 23 fashon fashon VERB crl-25015 59 24 9:02 9:02 NUM crl-25015 59 25 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 59 26 mainly mainly ADV crl-25015 59 27 women woman NOUN crl-25015 59 28 9:04 9:04 NUM crl-25015 59 29 me i PRON crl-25015 59 30 ok ok INTJ crl-25015 59 31 , , PUNCT crl-25015 59 32 let let VERB crl-25015 59 33 me i PRON crl-25015 59 34 see see VERB crl-25015 59 35 what what PRON crl-25015 59 36 i i PRON crl-25015 59 37 can can AUX crl-25015 59 38 find find VERB crl-25015 59 39 ! ! PUNCT crl-25015 60 1 9:04 9:04 NUM crl-25015 60 2 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 60 3 thanks thank NOUN crl-25015 60 4 you you PRON crl-25015 60 5 rock rock VERB crl-25015 60 6 ! ! PUNCT crl-25015 61 1 9:04 9:04 NUM crl-25015 61 2 me i PRON crl-25015 61 3 i i PRON crl-25015 61 4 am be AUX crl-25015 61 5 going go VERB crl-25015 61 6 to to PART crl-25015 61 7 start start VERB crl-25015 61 8 with with ADP crl-25015 61 9 our our PRON crl-25015 61 10 search search NOUN crl-25015 61 11 it it PRON crl-25015 61 12 tool tool NOUN crl-25015 61 13 . . PUNCT crl-25015 62 1 also also ADV crl-25015 62 2 , , PUNCT crl-25015 62 3 we we PRON crl-25015 62 4 have have VERB crl-25015 62 5 some some DET crl-25015 62 6 fashion fashion NOUN crl-25015 62 7 databases database NOUN crl-25015 62 8 as as ADP crl-25015 62 9 well well ADV crl-25015 62 10 http http NOUN crl-25015 62 11 : : PUNCT crl-25015 62 12 //apps.lib.k //apps.lib.k NOUN crl-25015 62 13 - - PUNCT crl-25015 62 14 state state NOUN crl-25015 62 15 . . PUNCT crl-25015 63 1 edu edu PROPN crl-25015 63 2 / / SYM crl-25015 63 3 databases database NOUN crl-25015 63 4 / / SYM crl-25015 63 5 category category NOUN crl-25015 63 6 / / SYM crl-25015 63 7 human human NOUN crl-25015 63 8 - - PUNCT crl-25015 63 9 ecology ecology NOUN crl-25015 63 10 / / SYM crl-25015 63 11 apparel apparel NOUN crl-25015 63 12 - - PUNCT crl-25015 63 13 textiles/ textiles/ NUM crl-25015 63 14 9:04 9:04 NUM crl-25015 63 15 me i PRON crl-25015 63 16 have have AUX crl-25015 63 17 you you PRON crl-25015 63 18 had have VERB crl-25015 63 19 a a DET crl-25015 63 20 chance chance NOUN crl-25015 63 21 to to PART crl-25015 63 22 try try VERB crl-25015 63 23 either either PRON crl-25015 63 24 of of ADP crl-25015 63 25 those those DET crl-25015 63 26 sources source NOUN crl-25015 63 27 ? ? PUNCT crl-25015 64 1 9:05 9:05 NUM crl-25015 64 2 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 65 1 yeah yeah INTJ crl-25015 66 1 i i PRON crl-25015 66 2 have have AUX crl-25015 66 3 tried try VERB crl-25015 66 4 .. .. PUNCT crl-25015 67 1 i i PRON crl-25015 67 2 am be AUX crl-25015 67 3 no no ADV crl-25015 67 4 sure sure ADJ crl-25015 67 5 if if SCONJ crl-25015 67 6 i i PRON crl-25015 67 7 m m VERB crl-25015 67 8 too too ADV crl-25015 67 9 specific specific ADJ crl-25015 67 10 or or CCONJ crl-25015 67 11 not not PART crl-25015 67 12 specific specific ADJ crl-25015 67 13 enough enough ADV crl-25015 67 14 . . PUNCT crl-25015 68 1 9:06 9:06 NUM crl-25015 68 2 me me PROPN crl-25015 68 3 gotcha gotcha NOUN crl-25015 68 4 . . PUNCT crl-25015 69 1 also also ADV crl-25015 69 2 , , PUNCT crl-25015 69 3 do do AUX crl-25015 69 4 they they PRON crl-25015 69 5 have have VERB crl-25015 69 6 to to PART crl-25015 69 7 be be AUX crl-25015 69 8 scholarly scholarly ADJ crl-25015 69 9 articles article NOUN crl-25015 69 10 ? ? PUNCT crl-25015 70 1 would would AUX crl-25015 70 2 library library VERB crl-25015 70 3 books book NOUN crl-25015 70 4 work work VERB crl-25015 70 5 as as ADV crl-25015 70 6 well well ADV crl-25015 70 7 ? ? PUNCT crl-25015 71 1 9:06 9:06 NUM crl-25015 71 2 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 71 3 yes yes INTJ crl-25015 71 4 , , PUNCT crl-25015 71 5 i i PRON crl-25015 71 6 believe believe VERB crl-25015 71 7 so so ADV crl-25015 71 8 . . PUNCT crl-25015 72 1 9:07 9:07 NUM crl-25015 72 2 me i PRON crl-25015 72 3 i i PRON crl-25015 72 4 found find VERB crl-25015 72 5 one one NUM crl-25015 72 6 promising promising ADJ crl-25015 72 7 book book NOUN crl-25015 72 8 in in ADP crl-25015 72 9 search search NOUN crl-25015 72 10 it it PRON crl-25015 72 11 " " PUNCT crl-25015 72 12 accessories accessory NOUN crl-25015 72 13 to to ADP crl-25015 72 14 modernity modernity NOUN crl-25015 72 15 : : PUNCT crl-25015 72 16 fashion fashion NOUN crl-25015 72 17 and and CCONJ crl-25015 72 18 the the DET crl-25015 72 19 feminine feminine NOUN crl-25015 72 20 in in ADP crl-25015 72 21 nineteenth nineteenth ADJ crl-25015 72 22 - - PUNCT crl-25015 72 23 century century NOUN crl-25015 72 24 france france PROPN crl-25015 72 25 " " PUNCT crl-25015 72 26 9:07 9:07 NUM crl-25015 72 27 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 72 28 my my PRON crl-25015 72 29 assignment assignment NOUN crl-25015 72 30 details detail NOUN crl-25015 72 31 just just ADV crl-25015 72 32 say say VERB crl-25015 72 33 two two NUM crl-25015 72 34 scholarly scholarly ADJ crl-25015 72 35 sources source NOUN crl-25015 72 36 . . PUNCT crl-25015 73 1 9:09 9:09 NUM crl-25015 73 2 me i PRON crl-25015 73 3 ok ok INTJ crl-25015 73 4 , , PUNCT crl-25015 73 5 i i PRON crl-25015 73 6 certianly certianly ADV crl-25015 73 7 think think VERB crl-25015 73 8 many many ADJ crl-25015 73 9 of of ADP crl-25015 73 10 the the DET crl-25015 73 11 books book NOUN crl-25015 73 12 in in ADP crl-25015 73 13 the the DET crl-25015 73 14 library library NOUN crl-25015 73 15 qualify qualify VERB crl-25015 73 16 as as ADP crl-25015 73 17 " " PUNCT crl-25015 73 18 scholarly scholarly ADJ crl-25015 73 19 " " PUNCT crl-25015 73 20 obviously obviously ADV crl-25015 73 21 some some PRON crl-25015 73 22 will will AUX crl-25015 73 23 not not PART crl-25015 73 24 ( ( PUNCT crl-25015 73 25 ex ex PROPN crl-25015 73 26 . . PROPN crl-25015 73 27 batman batman PROPN crl-25015 73 28 comics comic_strip NOUN crl-25015 73 29 ) ) PUNCT crl-25015 73 30 , , PUNCT crl-25015 73 31 but but CCONJ crl-25015 73 32 i i PRON crl-25015 73 33 think think VERB crl-25015 73 34 you you PRON crl-25015 73 35 should should AUX crl-25015 73 36 be be AUX crl-25015 73 37 able able ADJ crl-25015 73 38 to to PART crl-25015 73 39 identify identify VERB crl-25015 73 40 if if SCONJ crl-25015 73 41 a a DET crl-25015 73 42 book book NOUN crl-25015 73 43 is be AUX crl-25015 73 44 a a DET crl-25015 73 45 scholarly scholarly ADJ crl-25015 73 46 source source NOUN crl-25015 73 47 ( ( PUNCT crl-25015 73 48 they they PRON crl-25015 73 49 will will AUX crl-25015 73 50 have have VERB crl-25015 73 51 lots lot NOUN crl-25015 73 52 of of ADP crl-25015 73 53 references reference NOUN crl-25015 73 54 , , PUNCT crl-25015 73 55 detailed detailed ADJ crl-25015 73 56 info info NOUN crl-25015 73 57 , , PUNCT crl-25015 73 58 neutral neutral ADJ crl-25015 73 59 tone tone NOUN crl-25015 73 60 , , PUNCT crl-25015 73 61 etc etc X crl-25015 73 62 ... ... X crl-25015 73 63 ) ) PUNCT crl-25015 74 1 9:10 9:10 NUM crl-25015 74 2 me i PRON crl-25015 74 3 here here ADV crl-25015 74 4 is be AUX crl-25015 74 5 a a DET crl-25015 74 6 quick quick ADJ crl-25015 74 7 video video NOUN crl-25015 74 8 showing show VERB crl-25015 74 9 how how SCONJ crl-25015 74 10 i i PRON crl-25015 74 11 found find VERB crl-25015 74 12 some some DET crl-25015 74 13 books book NOUN crl-25015 74 14 .... .... PUNCT crl-25015 75 1 9:10 9:10 NUM crl-25015 75 2 me me PROPN crl-25015 75 3 http http NOUN crl-25015 75 4 : : PUNCT crl-25015 75 5 //screencast.com //screencast.com PROPN crl-25015 75 6 / / SYM crl-25015 75 7 t/ t/ NOUN crl-25015 75 8 * * PUNCT crl-25015 75 9 * * PUNCT crl-25015 75 10 * * PUNCT crl-25015 75 11 * * PUNCT crl-25015 75 12 * * PUNCT crl-25015 75 13 * * PUNCT crl-25015 75 14 * * PUNCT crl-25015 75 15 * * PUNCT crl-25015 75 16 * * PUNCT crl-25015 75 17 * * PUNCT crl-25015 75 18 9:12 9:12 NUM crl-25015 75 19 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 76 1 okay okay INTJ crl-25015 76 2 , , PUNCT crl-25015 76 3 thank thank VERB crl-25015 76 4 you you PRON crl-25015 76 5 so so ADV crl-25015 76 6 much much ADV crl-25015 76 7 ! ! PUNCT crl-25015 77 1 9:12 9:12 NUM crl-25015 77 2 me i PRON crl-25015 77 3 in in ADP crl-25015 77 4 that that DET crl-25015 77 5 video video NOUN crl-25015 77 6 i i PRON crl-25015 77 7 highlighted highlight VERB crl-25015 77 8 the the DET crl-25015 77 9 call call NOUN crl-25015 77 10 number number NOUN crl-25015 77 11 for for ADP crl-25015 77 12 the the DET crl-25015 77 13 book book NOUN crl-25015 77 14 9:12 9:12 NUM crl-25015 77 15 me i PRON crl-25015 77 16 call call NOUN crl-25015 77 17 numbers number NOUN crl-25015 77 18 are be AUX crl-25015 77 19 ordered order VERB crl-25015 77 20 by by ADP crl-25015 77 21 subject subject NOUN crl-25015 77 22 , , PUNCT crl-25015 77 23 so so CCONJ crl-25015 77 24 if if SCONJ crl-25015 77 25 you you PRON crl-25015 77 26 can can AUX crl-25015 77 27 find find VERB crl-25015 77 28 that that DET crl-25015 77 29 book book NOUN crl-25015 77 30 , , PUNCT crl-25015 77 31 you you PRON crl-25015 77 32 should should AUX crl-25015 77 33 be be AUX crl-25015 77 34 able able ADJ crl-25015 77 35 to to PART crl-25015 77 36 find find VERB crl-25015 77 37 many many ADJ crl-25015 77 38 other other ADJ crl-25015 77 39 relevant relevant ADJ crl-25015 77 40 books book NOUN crl-25015 77 41 right right ADV crl-25015 77 42 next next ADV crl-25015 77 43 to to ADP crl-25015 77 44 it it PRON crl-25015 77 45 9:12 9:12 NUM crl-25015 77 46 me i PRON crl-25015 77 47 also also ADV crl-25015 77 48 , , PUNCT crl-25015 77 49 for for ADP crl-25015 77 50 research research NOUN crl-25015 77 51 articles article NOUN crl-25015 77 52 , , PUNCT crl-25015 77 53 i i PRON crl-25015 77 54 think think VERB crl-25015 77 55 the the DET crl-25015 77 56 " " PUNCT crl-25015 77 57 berg berg PROPN crl-25015 77 58 fashion fashion PROPN crl-25015 77 59 library library PROPN crl-25015 77 60 " " PUNCT crl-25015 77 61 databases database NOUN crl-25015 77 62 may may AUX crl-25015 77 63 be be AUX crl-25015 77 64 another another DET crl-25015 77 65 good good ADJ crl-25015 77 66 place place NOUN crl-25015 77 67 to to PART crl-25015 77 68 search search VERB crl-25015 77 69 9:13 9:13 NUM crl-25015 77 70 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 77 71 thank thank VERB crl-25015 77 72 you you PRON crl-25015 77 73 , , PUNCT crl-25015 77 74 i i PRON crl-25015 77 75 appreciate appreciate VERB crl-25015 77 76 it it PRON crl-25015 77 77 . . PUNCT crl-25015 78 1 9:14 9:14 NUM crl-25015 78 2 me i PRON crl-25015 78 3 does do AUX crl-25015 78 4 that that PRON crl-25015 78 5 give give VERB crl-25015 78 6 you you PRON crl-25015 78 7 a a DET crl-25015 78 8 good good ADJ crl-25015 78 9 starting starting NOUN crl-25015 78 10 point point NOUN crl-25015 78 11 ? ? PUNCT crl-25015 79 1 9:16 9:16 NUM crl-25015 79 2 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 79 3 yes yes INTJ crl-25015 79 4 , , PUNCT crl-25015 79 5 thanks thank NOUN crl-25015 79 6 ! ! PUNCT crl-25015 80 1 9:17 9:17 NUM crl-25015 80 2 me i PRON crl-25015 80 3 great great ADJ crl-25015 80 4 ! ! PUNCT crl-25015 81 1 please please INTJ crl-25015 81 2 do do AUX crl-25015 81 3 n't not PART crl-25015 81 4 hesitate hesitate VERB crl-25015 81 5 to to PART crl-25015 81 6 come come VERB crl-25015 81 7 back back ADV crl-25015 81 8 if if SCONJ crl-25015 81 9 you you PRON crl-25015 81 10 have have VERB crl-25015 81 11 more more ADJ crl-25015 81 12 questions question NOUN crl-25015 81 13 9:26 9:26 NUM crl-25015 81 14 6476885001398391168263262 6476885001398391168263262 NUM crl-25015 82 1 awesome awesome ADJ crl-25015 82 2 thank thank VERB crl-25015 82 3 you you PRON crl-25015 82 4 ! ! PUNCT crl-25015 83 1 688 688 NUM crl-25015 83 2 college college PROPN crl-25015 83 3 & & CCONJ crl-25015 83 4 research research PROPN crl-25015 83 5 libraries library NOUN crl-25015 83 6 july july PROPN crl-25015 83 7 2021 2021 NUM crl-25015 83 8 figure figure NOUN crl-25015 83 9 3 3 NUM crl-25015 83 10 parsed parse VERB crl-25015 83 11 vrs vrs PROPN crl-25015 83 12 transcript transcript NOUN crl-25015 84 1 [ [ PUNCT crl-25015 84 2 ' ' NOUN crl-25015 84 3 9:00 9:00 NUM crl-25015 84 4 ' ' NOUN crl-25015 84 5 , , PUNCT crl-25015 84 6 ' ' PUNCT crl-25015 84 7 patron patron NOUN crl-25015 84 8 ' ' PUNCT crl-25015 84 9 , , PUNCT crl-25015 84 10 " " PUNCT crl-25015 84 11 i i PRON crl-25015 84 12 'm be AUX crl-25015 84 13 looking look VERB crl-25015 84 14 for for ADP crl-25015 84 15 a a DET crl-25015 84 16 19th 19th ADJ crl-25015 84 17 century century NOUN crl-25015 84 18 article article NOUN crl-25015 84 19 about about ADP crl-25015 84 20 women woman NOUN crl-25015 84 21 fashion fashion NOUN crl-25015 84 22 in in ADP crl-25015 84 23 france france PROPN crl-25015 84 24 but but CCONJ crl-25015 84 25 ca can AUX crl-25015 84 26 nt not PART crl-25015 84 27 seem seem VERB crl-25015 84 28 to to PART crl-25015 84 29 find find VERB crl-25015 84 30 anything anything PRON crl-25015 84 31 ? ? PUNCT crl-25015 85 1 do do AUX crl-25015 85 2 you you PRON crl-25015 85 3 have have VERB crl-25015 85 4 any any DET crl-25015 85 5 good good ADJ crl-25015 85 6 links link NOUN crl-25015 85 7 ? ? PUNCT crl-25015 85 8 " " PUNCT crl-25015 85 9 ] ] PUNCT crl-25015 86 1 [ [ X crl-25015 86 2 ' ' NOUN crl-25015 86 3 9:00 9:00 NUM crl-25015 86 4 ' ' PUNCT crl-25015 86 5 , , PUNCT crl-25015 86 6 ' ' PUNCT crl-25015 86 7 staff staff NOUN crl-25015 86 8 ' ' PUNCT crl-25015 86 9 , , PUNCT crl-25015 86 10 ' ' PUNCT crl-25015 86 11 hello hello INTJ crl-25015 86 12 ' ' PUNCT crl-25015 86 13 ] ] PUNCT crl-25015 87 1 [ [ X crl-25015 87 2 ' ' NOUN crl-25015 87 3 9:01 9:01 NUM crl-25015 87 4 ' ' NOUN crl-25015 87 5 , , PUNCT crl-25015 87 6 ' ' PUNCT crl-25015 87 7 staff staff NOUN crl-25015 87 8 ' ' PUNCT crl-25015 87 9 , , PUNCT crl-25015 87 10 ' ' PUNCT crl-25015 87 11 hmm hmm NOUN crl-25015 87 12 ... ... PUNCT crl-25015 87 13 i i PRON crl-25015 87 14 have have VERB crl-25015 87 15 a a DET crl-25015 87 16 few few ADJ crl-25015 87 17 ideas idea NOUN crl-25015 87 18 ! ! PUNCT crl-25015 87 19 ' ' PUNCT crl-25015 87 20 ] ] PUNCT crl-25015 88 1 [ [ X crl-25015 88 2 ' ' NOUN crl-25015 88 3 9:01 9:01 NUM crl-25015 88 4 ' ' NOUN crl-25015 88 5 , , PUNCT crl-25015 88 6 ' ' PUNCT crl-25015 88 7 staff staff NOUN crl-25015 88 8 ' ' PUNCT crl-25015 88 9 , , PUNCT crl-25015 88 10 ' ' PUNCT crl-25015 88 11 are be AUX crl-25015 88 12 you you PRON crl-25015 88 13 looking look VERB crl-25015 88 14 for for ADP crl-25015 88 15 articles article NOUN crl-25015 88 16 that that PRON crl-25015 88 17 are be AUX crl-25015 88 18 about about ADP crl-25015 88 19 19th 19th ADJ crl-25015 88 20 centruy centruy ADJ crl-25015 88 21 french french ADJ crl-25015 88 22 fashion fashion NOUN crl-25015 88 23 or or CCONJ crl-25015 88 24 articles article NOUN crl-25015 88 25 written write VERB crl-25015 88 26 in in ADP crl-25015 88 27 the the DET crl-25015 88 28 19th 19th ADJ crl-25015 88 29 century century NOUN crl-25015 88 30 about about ADP crl-25015 88 31 french french ADJ crl-25015 88 32 fashion fashion NOUN crl-25015 88 33 ? ? PUNCT crl-25015 89 1 ( ( PUNCT crl-25015 89 2 the the DET crl-25015 89 3 former former ADJ crl-25015 89 4 will will AUX crl-25015 89 5 definitely definitely ADV crl-25015 89 6 be be AUX crl-25015 89 7 easier easy ADJ crl-25015 89 8 i i PRON crl-25015 89 9 think think VERB crl-25015 89 10 ) ) PUNCT crl-25015 89 11 ' ' PUNCT crl-25015 89 12 ] ] PUNCT crl-25015 90 1 [ [ X crl-25015 90 2 ' ' NOUN crl-25015 90 3 9:02 9:02 NUM crl-25015 90 4 ' ' PUNCT crl-25015 90 5 , , PUNCT crl-25015 90 6 ' ' PUNCT crl-25015 90 7 patron patron NOUN crl-25015 90 8 ' ' PUNCT crl-25015 90 9 , , PUNCT crl-25015 90 10 ' ' PUNCT crl-25015 90 11 i i PRON crl-25015 90 12 am be AUX crl-25015 90 13 looking look VERB crl-25015 90 14 for for ADP crl-25015 90 15 scholarly scholarly ADJ crl-25015 90 16 articles article NOUN crl-25015 90 17 about about ADP crl-25015 90 18 19th 19th ADJ crl-25015 90 19 century century NOUN crl-25015 90 20 french french ADJ crl-25015 90 21 fashon fashon NOUN crl-25015 90 22 ' ' PUNCT crl-25015 90 23 ] ] PUNCT crl-25015 91 1 [ [ X crl-25015 91 2 ' ' NOUN crl-25015 91 3 9:02 9:02 NUM crl-25015 91 4 ' ' PUNCT crl-25015 91 5 , , PUNCT crl-25015 91 6 ' ' PUNCT crl-25015 91 7 patron patron NOUN crl-25015 91 8 ' ' PUNCT crl-25015 91 9 , , PUNCT crl-25015 91 10 ' ' PUNCT crl-25015 91 11 mainly mainly ADV crl-25015 91 12 women woman NOUN crl-25015 91 13 ' ' PART crl-25015 91 14 ] ] PUNCT crl-25015 92 1 [ [ X crl-25015 92 2 ' ' NOUN crl-25015 92 3 9:04 9:04 NUM crl-25015 92 4 ' ' NUM crl-25015 92 5 , , PUNCT crl-25015 92 6 ' ' PUNCT crl-25015 92 7 staff staff NOUN crl-25015 92 8 ' ' PUNCT crl-25015 92 9 , , PUNCT crl-25015 92 10 ' ' PUNCT crl-25015 92 11 ok ok INTJ crl-25015 92 12 , , PUNCT crl-25015 92 13 let let VERB crl-25015 92 14 me i PRON crl-25015 92 15 see see VERB crl-25015 92 16 what what PRON crl-25015 92 17 i i PRON crl-25015 92 18 can can AUX crl-25015 92 19 find find VERB crl-25015 92 20 ! ! PUNCT crl-25015 92 21 ' ' PUNCT crl-25015 92 22 ] ] PUNCT crl-25015 93 1 [ [ X crl-25015 93 2 ' ' NOUN crl-25015 93 3 9:04 9:04 NUM crl-25015 93 4 ' ' PUNCT crl-25015 93 5 , , PUNCT crl-25015 93 6 ' ' PUNCT crl-25015 93 7 patron patron NOUN crl-25015 93 8 ' ' PUNCT crl-25015 93 9 , , PUNCT crl-25015 93 10 ' ' PUNCT crl-25015 93 11 thanks thank NOUN crl-25015 93 12 you you PRON crl-25015 93 13 rock rock VERB crl-25015 93 14 ! ! PUNCT crl-25015 93 15 ' ' PUNCT crl-25015 93 16 ] ] PUNCT crl-25015 94 1 [ [ X crl-25015 94 2 ' ' NOUN crl-25015 94 3 9:04 9:04 NUM crl-25015 94 4 ' ' NUM crl-25015 94 5 , , PUNCT crl-25015 94 6 ' ' PUNCT crl-25015 94 7 staff staff NOUN crl-25015 94 8 ' ' PUNCT crl-25015 94 9 , , PUNCT crl-25015 94 10 ' ' PUNCT crl-25015 94 11 i i PRON crl-25015 94 12 am be AUX crl-25015 94 13 going go VERB crl-25015 94 14 to to PART crl-25015 94 15 start start VERB crl-25015 94 16 with with ADP crl-25015 94 17 our our PRON crl-25015 94 18 search search NOUN crl-25015 94 19 it it PRON crl-25015 94 20 tool tool NOUN crl-25015 94 21 . . PUNCT crl-25015 95 1 also also ADV crl-25015 95 2 , , PUNCT crl-25015 95 3 we we PRON crl-25015 95 4 have have VERB crl-25015 95 5 some some DET crl-25015 95 6 fashion fashion NOUN crl-25015 95 7 databases database NOUN crl-25015 95 8 as as ADP crl-25015 95 9 well well ADV crl-25015 95 10 http http NOUN crl-25015 95 11 : : PUNCT crl-25015 95 12 //apps.lib.k //apps.lib.k NOUN crl-25015 95 13 - - X crl-25015 95 14 state.edu state.edu X crl-25015 95 15 / / SYM crl-25015 95 16 databases database NOUN crl-25015 95 17 / / SYM crl-25015 95 18 category category NOUN crl-25015 95 19 / / SYM crl-25015 95 20 human human NOUN crl-25015 95 21 - - PUNCT crl-25015 95 22 ecology ecology NOUN crl-25015 95 23 / / SYM crl-25015 95 24 apparel apparel NOUN crl-25015 95 25 - - PUNCT crl-25015 95 26 textiles/ textiles/ NUM crl-25015 95 27 ' ' PUNCT crl-25015 95 28 ] ] PUNCT crl-25015 96 1 [ [ X crl-25015 96 2 ' ' NOUN crl-25015 96 3 9:04 9:04 NUM crl-25015 96 4 ' ' NUM crl-25015 96 5 , , PUNCT crl-25015 96 6 ' ' PUNCT crl-25015 96 7 staff staff NOUN crl-25015 96 8 ' ' PUNCT crl-25015 96 9 , , PUNCT crl-25015 96 10 ' ' PUNCT crl-25015 96 11 have have AUX crl-25015 96 12 you you PRON crl-25015 96 13 had have VERB crl-25015 96 14 a a DET crl-25015 96 15 chance chance NOUN crl-25015 96 16 to to PART crl-25015 96 17 try try VERB crl-25015 96 18 either either PRON crl-25015 96 19 of of ADP crl-25015 96 20 those those DET crl-25015 96 21 sources source NOUN crl-25015 96 22 ? ? PUNCT crl-25015 96 23 ' ' PUNCT crl-25015 96 24 ] ] PUNCT crl-25015 97 1 [ [ X crl-25015 97 2 ' ' NOUN crl-25015 97 3 9:05 9:05 NUM crl-25015 97 4 ' ' NOUN crl-25015 97 5 , , PUNCT crl-25015 97 6 ' ' PUNCT crl-25015 97 7 patron patron NOUN crl-25015 97 8 ' ' PUNCT crl-25015 97 9 , , PUNCT crl-25015 97 10 ' ' PUNCT crl-25015 97 11 yeah yeah INTJ crl-25015 97 12 i i PRON crl-25015 97 13 have have AUX crl-25015 97 14 tried try VERB crl-25015 97 15 .. .. PUNCT crl-25015 98 1 i i PRON crl-25015 98 2 am be AUX crl-25015 98 3 no no ADV crl-25015 98 4 sure sure ADJ crl-25015 98 5 if if SCONJ crl-25015 98 6 i i PRON crl-25015 98 7 m m VERB crl-25015 98 8 too too ADV crl-25015 98 9 specific specific ADJ crl-25015 98 10 or or CCONJ crl-25015 98 11 not not PART crl-25015 98 12 specific specific ADJ crl-25015 98 13 enough enough ADV crl-25015 98 14 . . PUNCT crl-25015 98 15 ' ' PUNCT crl-25015 98 16 ] ] PUNCT crl-25015 99 1 [ [ X crl-25015 99 2 ' ' NOUN crl-25015 99 3 9:06 9:06 NUM crl-25015 99 4 ' ' PUNCT crl-25015 99 5 , , PUNCT crl-25015 99 6 ' ' PUNCT crl-25015 99 7 staff staff NOUN crl-25015 99 8 ' ' PUNCT crl-25015 99 9 , , PUNCT crl-25015 99 10 ' ' PUNCT crl-25015 99 11 gotcha gotcha NOUN crl-25015 99 12 . . PUNCT crl-25015 100 1 also also ADV crl-25015 100 2 , , PUNCT crl-25015 100 3 do do AUX crl-25015 100 4 they they PRON crl-25015 100 5 have have VERB crl-25015 100 6 to to PART crl-25015 100 7 be be AUX crl-25015 100 8 scholarly scholarly ADJ crl-25015 100 9 articles article NOUN crl-25015 100 10 ? ? PUNCT crl-25015 101 1 would would AUX crl-25015 101 2 library library VERB crl-25015 101 3 books book NOUN crl-25015 101 4 work work VERB crl-25015 101 5 as as ADV crl-25015 101 6 well well ADV crl-25015 101 7 ? ? PUNCT crl-25015 101 8 ' ' PUNCT crl-25015 101 9 ] ] PUNCT crl-25015 102 1 [ [ X crl-25015 102 2 ' ' NOUN crl-25015 102 3 9:06 9:06 NUM crl-25015 102 4 ' ' PUNCT crl-25015 102 5 , , PUNCT crl-25015 102 6 ' ' PUNCT crl-25015 102 7 patron patron NOUN crl-25015 102 8 ' ' PUNCT crl-25015 102 9 , , PUNCT crl-25015 102 10 ' ' PUNCT crl-25015 102 11 yes yes INTJ crl-25015 102 12 , , PUNCT crl-25015 102 13 i i PRON crl-25015 102 14 believe believe VERB crl-25015 102 15 so so ADV crl-25015 102 16 . . PUNCT crl-25015 102 17 ' ' PUNCT crl-25015 102 18 ] ] PUNCT crl-25015 103 1 [ [ X crl-25015 103 2 ' ' NOUN crl-25015 103 3 9:07 9:07 NUM crl-25015 103 4 ' ' PUNCT crl-25015 103 5 , , PUNCT crl-25015 103 6 ' ' PUNCT crl-25015 103 7 staff staff NOUN crl-25015 103 8 ' ' PUNCT crl-25015 103 9 , , PUNCT crl-25015 103 10 ' ' PUNCT crl-25015 103 11 i i PRON crl-25015 103 12 found find VERB crl-25015 103 13 one one NUM crl-25015 103 14 promising promising ADJ crl-25015 103 15 book book NOUN crl-25015 103 16 in in ADP crl-25015 103 17 search search NOUN crl-25015 103 18 it it PRON crl-25015 103 19 " " PUNCT crl-25015 103 20 accessories accessory NOUN crl-25015 103 21 to to ADP crl-25015 103 22 modernity modernity NOUN crl-25015 103 23 : : PUNCT crl-25015 103 24 fashion fashion NOUN crl-25015 103 25 and and CCONJ crl-25015 103 26 the the DET crl-25015 103 27 feminine feminine NOUN crl-25015 103 28 in in ADP crl-25015 103 29 nineteenth nineteenth ADJ crl-25015 103 30 - - PUNCT crl-25015 103 31 century century NOUN crl-25015 103 32 france france PROPN crl-25015 103 33 " " PUNCT crl-25015 103 34 ' ' PUNCT crl-25015 103 35 ] ] PUNCT crl-25015 104 1 [ [ X crl-25015 104 2 ' ' NOUN crl-25015 104 3 9:07 9:07 NUM crl-25015 104 4 ' ' PUNCT crl-25015 104 5 , , PUNCT crl-25015 104 6 ' ' PUNCT crl-25015 104 7 patron patron NOUN crl-25015 104 8 ' ' PUNCT crl-25015 104 9 , , PUNCT crl-25015 104 10 ' ' PUNCT crl-25015 104 11 my my PRON crl-25015 104 12 assignment assignment NOUN crl-25015 104 13 details detail NOUN crl-25015 104 14 just just ADV crl-25015 104 15 say say VERB crl-25015 104 16 two two NUM crl-25015 104 17 scholarly scholarly ADJ crl-25015 104 18 sources source NOUN crl-25015 104 19 . . PUNCT crl-25015 104 20 ' ' PUNCT crl-25015 104 21 ] ] PUNCT crl-25015 105 1 [ [ X crl-25015 105 2 ' ' NOUN crl-25015 105 3 9:09 9:09 NUM crl-25015 105 4 ' ' PUNCT crl-25015 105 5 , , PUNCT crl-25015 105 6 ' ' PUNCT crl-25015 105 7 staff staff NOUN crl-25015 105 8 ' ' PUNCT crl-25015 105 9 , , PUNCT crl-25015 105 10 ' ' PUNCT crl-25015 105 11 ok ok INTJ crl-25015 105 12 , , PUNCT crl-25015 105 13 i i PRON crl-25015 105 14 certianly certianly ADV crl-25015 105 15 think think VERB crl-25015 105 16 many many ADJ crl-25015 105 17 of of ADP crl-25015 105 18 the the DET crl-25015 105 19 books book NOUN crl-25015 105 20 in in ADP crl-25015 105 21 the the DET crl-25015 105 22 library library NOUN crl-25015 105 23 qualify qualify VERB crl-25015 105 24 as as ADP crl-25015 105 25 " " PUNCT crl-25015 105 26 scholarly scholarly ADJ crl-25015 105 27 " " PUNCT crl-25015 105 28 obviously obviously ADV crl-25015 105 29 some some PRON crl-25015 105 30 will will AUX crl-25015 105 31 not not PART crl-25015 105 32 ( ( PUNCT crl-25015 105 33 ex ex PROPN crl-25015 105 34 . . PROPN crl-25015 105 35 batman batman PROPN crl-25015 105 36 comics comic_strip NOUN crl-25015 105 37 ) ) PUNCT crl-25015 105 38 , , PUNCT crl-25015 105 39 but but CCONJ crl-25015 105 40 i i PRON crl-25015 105 41 think think VERB crl-25015 105 42 you you PRON crl-25015 105 43 should should AUX crl-25015 105 44 be be AUX crl-25015 105 45 able able ADJ crl-25015 105 46 to to PART crl-25015 105 47 identify identify VERB crl-25015 105 48 if if SCONJ crl-25015 105 49 a a DET crl-25015 105 50 book book NOUN crl-25015 105 51 is be AUX crl-25015 105 52 a a DET crl-25015 105 53 scholarly scholarly ADJ crl-25015 105 54 source source NOUN crl-25015 105 55 ( ( PUNCT crl-25015 105 56 they they PRON crl-25015 105 57 will will AUX crl-25015 105 58 have have VERB crl-25015 105 59 lots lot NOUN crl-25015 105 60 of of ADP crl-25015 105 61 references reference NOUN crl-25015 105 62 , , PUNCT crl-25015 105 63 detailed detailed ADJ crl-25015 105 64 info info NOUN crl-25015 105 65 , , PUNCT crl-25015 105 66 neutral neutral ADJ crl-25015 105 67 tone tone NOUN crl-25015 105 68 , , PUNCT crl-25015 105 69 etc etc X crl-25015 105 70 ... ... X crl-25015 105 71 ) ) PUNCT crl-25015 105 72 ' ' PUNCT crl-25015 105 73 ] ] PUNCT crl-25015 106 1 [ [ X crl-25015 106 2 ' ' NOUN crl-25015 106 3 9:10 9:10 NUM crl-25015 106 4 ' ' PUNCT crl-25015 106 5 , , PUNCT crl-25015 106 6 ' ' PUNCT crl-25015 106 7 staff staff NOUN crl-25015 106 8 ' ' PUNCT crl-25015 106 9 , , PUNCT crl-25015 106 10 ' ' PUNCT crl-25015 106 11 here here ADV crl-25015 106 12 is be AUX crl-25015 106 13 a a DET crl-25015 106 14 quick quick ADJ crl-25015 106 15 video video NOUN crl-25015 106 16 showing show VERB crl-25015 106 17 how how SCONJ crl-25015 106 18 i i PRON crl-25015 106 19 found find VERB crl-25015 106 20 some some DET crl-25015 106 21 books book NOUN crl-25015 106 22 .... .... PUNCT crl-25015 106 23 ' ' PUNCT crl-25015 106 24 ] ] PUNCT crl-25015 107 1 [ [ X crl-25015 107 2 ' ' NOUN crl-25015 107 3 9:10 9:10 NUM crl-25015 107 4 ' ' PUNCT crl-25015 107 5 , , PUNCT crl-25015 107 6 ' ' PUNCT crl-25015 107 7 staff staff NOUN crl-25015 107 8 ' ' PUNCT crl-25015 107 9 , , PUNCT crl-25015 107 10 ' ' PUNCT crl-25015 107 11 http http NOUN crl-25015 107 12 : : PUNCT crl-25015 107 13 //screencast.com //screencast.com PROPN crl-25015 107 14 / / SYM crl-25015 107 15 t/ t/ NOUN crl-25015 107 16 * * PUNCT crl-25015 107 17 * * PUNCT crl-25015 107 18 * * PUNCT crl-25015 107 19 * * PUNCT crl-25015 107 20 * * PUNCT crl-25015 107 21 * * PUNCT crl-25015 107 22 * * PUNCT crl-25015 107 23 * * PUNCT crl-25015 107 24 * * PUNCT crl-25015 107 25 * * PUNCT crl-25015 107 26 ' ' PUNCT crl-25015 107 27 ] ] PUNCT crl-25015 108 1 [ [ X crl-25015 108 2 ' ' NOUN crl-25015 108 3 9:12 9:12 NUM crl-25015 108 4 ' ' NOUN crl-25015 108 5 , , PUNCT crl-25015 108 6 ' ' PUNCT crl-25015 108 7 patron patron NOUN crl-25015 108 8 ' ' PUNCT crl-25015 108 9 , , PUNCT crl-25015 108 10 ' ' PUNCT crl-25015 108 11 okay okay INTJ crl-25015 108 12 , , PUNCT crl-25015 108 13 thank thank VERB crl-25015 108 14 you you PRON crl-25015 108 15 so so ADV crl-25015 108 16 much much ADV crl-25015 108 17 ! ! PUNCT crl-25015 108 18 ' ' PUNCT crl-25015 108 19 ] ] PUNCT crl-25015 109 1 [ [ X crl-25015 109 2 ' ' NOUN crl-25015 109 3 9:12 9:12 NUM crl-25015 109 4 ' ' NOUN crl-25015 109 5 , , PUNCT crl-25015 109 6 ' ' PUNCT crl-25015 109 7 staff staff NOUN crl-25015 109 8 ' ' PUNCT crl-25015 109 9 , , PUNCT crl-25015 109 10 ' ' PUNCT crl-25015 109 11 in in ADP crl-25015 109 12 that that DET crl-25015 109 13 video video NOUN crl-25015 109 14 i i PRON crl-25015 109 15 highlighted highlight VERB crl-25015 109 16 the the DET crl-25015 109 17 call call NOUN crl-25015 109 18 number number NOUN crl-25015 109 19 for for ADP crl-25015 109 20 the the DET crl-25015 109 21 book book NOUN crl-25015 109 22 ' ' PUNCT crl-25015 109 23 ] ] PUNCT crl-25015 110 1 [ [ X crl-25015 110 2 ' ' NOUN crl-25015 110 3 9:12 9:12 NUM crl-25015 110 4 ' ' NOUN crl-25015 110 5 , , PUNCT crl-25015 110 6 ' ' PUNCT crl-25015 110 7 staff staff NOUN crl-25015 110 8 ' ' PUNCT crl-25015 110 9 , , PUNCT crl-25015 110 10 ' ' PUNCT crl-25015 110 11 call call NOUN crl-25015 110 12 numbers number NOUN crl-25015 110 13 are be AUX crl-25015 110 14 ordered order VERB crl-25015 110 15 by by ADP crl-25015 110 16 subject subject NOUN crl-25015 110 17 , , PUNCT crl-25015 110 18 so so CCONJ crl-25015 110 19 if if SCONJ crl-25015 110 20 you you PRON crl-25015 110 21 can can AUX crl-25015 110 22 find find VERB crl-25015 110 23 that that DET crl-25015 110 24 book book NOUN crl-25015 110 25 , , PUNCT crl-25015 110 26 you you PRON crl-25015 110 27 should should AUX crl-25015 110 28 be be AUX crl-25015 110 29 able able ADJ crl-25015 110 30 to to PART crl-25015 110 31 find find VERB crl-25015 110 32 many many ADJ crl-25015 110 33 other other ADJ crl-25015 110 34 relevant relevant ADJ crl-25015 110 35 books book NOUN crl-25015 110 36 right right ADV crl-25015 110 37 next next ADV crl-25015 110 38 to to ADP crl-25015 110 39 it it PRON crl-25015 110 40 ' ' VERB crl-25015 110 41 ] ] PUNCT crl-25015 111 1 [ [ X crl-25015 111 2 ' ' NOUN crl-25015 111 3 9:12 9:12 NUM crl-25015 111 4 ' ' NOUN crl-25015 111 5 , , PUNCT crl-25015 111 6 ' ' PUNCT crl-25015 111 7 staff staff NOUN crl-25015 111 8 ' ' PUNCT crl-25015 111 9 , , PUNCT crl-25015 111 10 ' ' PUNCT crl-25015 111 11 also also ADV crl-25015 111 12 , , PUNCT crl-25015 111 13 for for ADP crl-25015 111 14 research research NOUN crl-25015 111 15 articles article NOUN crl-25015 111 16 , , PUNCT crl-25015 111 17 i i PRON crl-25015 111 18 think think VERB crl-25015 111 19 the the DET crl-25015 111 20 " " PUNCT crl-25015 111 21 berg berg PROPN crl-25015 111 22 fashion fashion PROPN crl-25015 111 23 library library PROPN crl-25015 111 24 " " PUNCT crl-25015 111 25 databases database NOUN crl-25015 111 26 may may AUX crl-25015 111 27 be be AUX crl-25015 111 28 another another DET crl-25015 111 29 good good ADJ crl-25015 111 30 place place NOUN crl-25015 111 31 to to PART crl-25015 111 32 search search VERB crl-25015 111 33 ' ' PUNCT crl-25015 111 34 ] ] PUNCT crl-25015 112 1 [ [ X crl-25015 112 2 ' ' NOUN crl-25015 112 3 9:13 9:13 NUM crl-25015 112 4 ' ' PUNCT crl-25015 112 5 , , PUNCT crl-25015 112 6 ' ' PUNCT crl-25015 112 7 patron patron NOUN crl-25015 112 8 ' ' PUNCT crl-25015 112 9 , , PUNCT crl-25015 112 10 ' ' PUNCT crl-25015 112 11 thank thank VERB crl-25015 112 12 you you PRON crl-25015 112 13 , , PUNCT crl-25015 112 14 i i PRON crl-25015 112 15 appreciate appreciate VERB crl-25015 112 16 it it PRON crl-25015 112 17 . . PUNCT crl-25015 112 18 ' ' PUNCT crl-25015 112 19 ] ] PUNCT crl-25015 113 1 [ [ X crl-25015 113 2 ' ' NOUN crl-25015 113 3 9:14 9:14 NUM crl-25015 113 4 ' ' NUM crl-25015 113 5 , , PUNCT crl-25015 113 6 ' ' PUNCT crl-25015 113 7 staff staff NOUN crl-25015 113 8 ' ' PUNCT crl-25015 113 9 , , PUNCT crl-25015 113 10 ' ' PUNCT crl-25015 113 11 does do AUX crl-25015 113 12 that that PRON crl-25015 113 13 give give VERB crl-25015 113 14 you you PRON crl-25015 113 15 a a DET crl-25015 113 16 good good ADJ crl-25015 113 17 starting starting NOUN crl-25015 113 18 point point NOUN crl-25015 113 19 ? ? PUNCT crl-25015 113 20 ' ' PUNCT crl-25015 113 21 ] ] PUNCT crl-25015 114 1 [ [ X crl-25015 114 2 ' ' NOUN crl-25015 114 3 9:16 9:16 NUM crl-25015 114 4 ' ' NOUN crl-25015 114 5 , , PUNCT crl-25015 114 6 ' ' PUNCT crl-25015 114 7 patron patron NOUN crl-25015 114 8 ' ' PUNCT crl-25015 114 9 , , PUNCT crl-25015 114 10 ' ' PUNCT crl-25015 114 11 yes yes INTJ crl-25015 114 12 , , PUNCT crl-25015 114 13 thanks thank NOUN crl-25015 114 14 ! ! PUNCT crl-25015 114 15 ' ' PUNCT crl-25015 114 16 ] ] PUNCT crl-25015 115 1 [ [ X crl-25015 115 2 ' ' NOUN crl-25015 115 3 9:17 9:17 NUM crl-25015 115 4 ' ' NUM crl-25015 115 5 , , PUNCT crl-25015 115 6 ' ' PUNCT crl-25015 115 7 staff staff NOUN crl-25015 115 8 ' ' PUNCT crl-25015 115 9 , , PUNCT crl-25015 115 10 " " PUNCT crl-25015 115 11 great great ADJ crl-25015 115 12 ! ! PUNCT crl-25015 115 13 please please INTJ crl-25015 115 14 do do AUX crl-25015 115 15 n't not PART crl-25015 115 16 hesitate hesitate VERB crl-25015 115 17 to to PART crl-25015 115 18 come come VERB crl-25015 115 19 back back ADV crl-25015 115 20 if if SCONJ crl-25015 115 21 you you PRON crl-25015 115 22 have have VERB crl-25015 115 23 more more ADJ crl-25015 115 24 questions question NOUN crl-25015 115 25 " " PUNCT crl-25015 115 26 ] ] PUNCT crl-25015 116 1 [ [ X crl-25015 116 2 ' ' NOUN crl-25015 116 3 9:26 9:26 NUM crl-25015 116 4 ' ' PUNCT crl-25015 116 5 , , PUNCT crl-25015 116 6 ' ' PUNCT crl-25015 116 7 patron patron NOUN crl-25015 116 8 ' ' PUNCT crl-25015 116 9 , , PUNCT crl-25015 116 10 ' ' PUNCT crl-25015 116 11 awesome awesome ADV crl-25015 116 12 thank thank VERB crl-25015 116 13 you you PRON crl-25015 116 14 ! ! PUNCT crl-25015 116 15 ' ' PUNCT crl-25015 116 16 ] ] PUNCT crl-25015 116 17 figure figure NOUN crl-25015 116 18 4 4 NUM crl-25015 116 19 full full ADJ crl-25015 116 20 patron patron NOUN crl-25015 116 21 - - PUNCT crl-25015 116 22 supplied supply VERB crl-25015 116 23 text text NOUN crl-25015 116 24 i i PRON crl-25015 116 25 'm be AUX crl-25015 116 26 looking look VERB crl-25015 116 27 for for ADP crl-25015 116 28 a a DET crl-25015 116 29 19th 19th ADJ crl-25015 116 30 century century NOUN crl-25015 116 31 article article NOUN crl-25015 116 32 about about ADP crl-25015 116 33 women woman NOUN crl-25015 116 34 fashion fashion NOUN crl-25015 116 35 in in ADP crl-25015 116 36 france france PROPN crl-25015 116 37 but but CCONJ crl-25015 116 38 ca can AUX crl-25015 116 39 nt not PART crl-25015 116 40 seem seem VERB crl-25015 116 41 to to PART crl-25015 116 42 find find VERB crl-25015 116 43 anything anything PRON crl-25015 116 44 ? ? PUNCT crl-25015 117 1 do do AUX crl-25015 117 2 you you PRON crl-25015 117 3 have have VERB crl-25015 117 4 any any DET crl-25015 117 5 good good ADJ crl-25015 117 6 links link NOUN crl-25015 117 7 ? ? PUNCT crl-25015 118 1 i i PRON crl-25015 118 2 am be AUX crl-25015 118 3 looking look VERB crl-25015 118 4 for for ADP crl-25015 118 5 scholarly scholarly ADJ crl-25015 118 6 articles article NOUN crl-25015 118 7 about about ADP crl-25015 118 8 19th 19th ADJ crl-25015 118 9 century century NOUN crl-25015 118 10 french french ADJ crl-25015 118 11 fashon fashon NOUN crl-25015 118 12 mainly mainly ADV crl-25015 118 13 women woman NOUN crl-25015 118 14 thanks thank NOUN crl-25015 118 15 you you PRON crl-25015 118 16 rock rock VERB crl-25015 118 17 ! ! PUNCT crl-25015 119 1 yeah yeah INTJ crl-25015 120 1 i i PRON crl-25015 120 2 have have AUX crl-25015 120 3 tried try VERB crl-25015 120 4 .. .. PUNCT crl-25015 121 1 i i PRON crl-25015 121 2 am be AUX crl-25015 121 3 no no ADV crl-25015 121 4 sure sure ADJ crl-25015 121 5 if if SCONJ crl-25015 121 6 i i PRON crl-25015 121 7 m m VERB crl-25015 121 8 too too ADV crl-25015 121 9 specific specific ADJ crl-25015 121 10 or or CCONJ crl-25015 121 11 not not PART crl-25015 121 12 specific specific ADJ crl-25015 121 13 enough enough ADV crl-25015 121 14 . . PUNCT crl-25015 122 1 yes yes INTJ crl-25015 122 2 , , PUNCT crl-25015 122 3 i i PRON crl-25015 122 4 believe believe VERB crl-25015 122 5 so so ADV crl-25015 122 6 . . PUNCT crl-25015 123 1 my my PRON crl-25015 123 2 assignment assignment NOUN crl-25015 123 3 details detail NOUN crl-25015 123 4 just just ADV crl-25015 123 5 say say VERB crl-25015 123 6 two two NUM crl-25015 123 7 scholarly scholarly ADJ crl-25015 123 8 sources source NOUN crl-25015 123 9 . . PUNCT crl-25015 124 1 okay okay INTJ crl-25015 124 2 , , PUNCT crl-25015 124 3 thank thank VERB crl-25015 124 4 you you PRON crl-25015 124 5 so so ADV crl-25015 124 6 much much ADV crl-25015 124 7 ! ! PUNCT crl-25015 125 1 thank thank VERB crl-25015 125 2 you you PRON crl-25015 125 3 , , PUNCT crl-25015 125 4 i i PRON crl-25015 125 5 appreciate appreciate VERB crl-25015 125 6 it it PRON crl-25015 125 7 . . PUNCT crl-25015 126 1 yes yes INTJ crl-25015 126 2 , , PUNCT crl-25015 126 3 thanks thank NOUN crl-25015 126 4 ! ! PUNCT crl-25015 127 1 awesome awesome ADJ crl-25015 127 2 thank thank VERB crl-25015 127 3 you you PRON crl-25015 127 4 ! ! PUNCT crl-25015 128 1 using use VERB crl-25015 128 2 machine machine NOUN crl-25015 128 3 learning learning NOUN crl-25015 128 4 to to PART crl-25015 128 5 predict predict VERB crl-25015 128 6 chat chat VERB crl-25015 128 7 difficulty difficulty NOUN crl-25015 128 8 689 689 NUM crl-25015 128 9 finally finally ADV crl-25015 128 10 , , PUNCT crl-25015 128 11 all all PRON crl-25015 128 12 of of ADP crl-25015 128 13 the the DET crl-25015 128 14 text text NOUN crl-25015 128 15 provided provide VERB crl-25015 128 16 by by ADP crl-25015 128 17 patrons patron NOUN crl-25015 128 18 was be AUX crl-25015 128 19 reassembled reassemble VERB crl-25015 128 20 into into ADP crl-25015 128 21 a a DET crl-25015 128 22 single single ADJ crl-25015 128 23 text text NOUN crl-25015 128 24 - - PUNCT crl-25015 128 25 string string NOUN crl-25015 128 26 to to PART crl-25015 128 27 represent represent VERB crl-25015 128 28 the the DET crl-25015 128 29 patron patron PROPN crl-25015 128 30 ’s ’s PART crl-25015 128 31 contribution contribution NOUN crl-25015 128 32 to to ADP crl-25015 128 33 the the DET crl-25015 128 34 vrs vrs PROPN crl-25015 128 35 interaction interaction NOUN crl-25015 128 36 ( ( PUNCT crl-25015 128 37 see see VERB crl-25015 128 38 figure figure NOUN crl-25015 128 39 4 4 NUM crl-25015 128 40 ) ) PUNCT crl-25015 128 41 . . PUNCT crl-25015 129 1 to to PART crl-25015 129 2 preserve preserve VERB crl-25015 129 3 the the DET crl-25015 129 4 imperfect imperfect ADJ crl-25015 129 5 nature nature NOUN crl-25015 129 6 of of ADP crl-25015 129 7 text text NOUN crl-25015 129 8 data datum NOUN crl-25015 129 9 in in ADP crl-25015 129 10 a a DET crl-25015 129 11 chat chat NOUN crl-25015 129 12 environment environment NOUN crl-25015 129 13 , , PUNCT crl-25015 129 14 no no DET crl-25015 129 15 attempt attempt NOUN crl-25015 129 16 was be AUX crl-25015 129 17 made make VERB crl-25015 129 18 to to PART crl-25015 129 19 correct correct VERB crl-25015 129 20 typos typo NOUN crl-25015 129 21 , , PUNCT crl-25015 129 22 misspellings misspelling NOUN crl-25015 129 23 , , PUNCT crl-25015 129 24 or or CCONJ crl-25015 129 25 other other ADJ crl-25015 129 26 linguistic linguistic ADJ crl-25015 129 27 errors error NOUN crl-25015 129 28 of of ADP crl-25015 129 29 any any DET crl-25015 129 30 kind kind NOUN crl-25015 129 31 . . PUNCT crl-25015 130 1 while while SCONJ crl-25015 130 2 all all DET crl-25015 130 3 vrs vrs NOUN crl-25015 130 4 operators operator NOUN crl-25015 130 5 at at ADP crl-25015 130 6 ksul ksul NOUN crl-25015 130 7 are be AUX crl-25015 130 8 expected expect VERB crl-25015 130 9 to to PART crl-25015 130 10 redact redact VERB crl-25015 130 11 personally personally ADV crl-25015 130 12 identifying identify VERB crl-25015 130 13 information information NOUN crl-25015 130 14 from from ADP crl-25015 130 15 the the DET crl-25015 130 16 text text NOUN crl-25015 130 17 of of ADP crl-25015 130 18 these these DET crl-25015 130 19 transcripts transcript NOUN crl-25015 130 20 prior prior ADV crl-25015 130 21 to to ADP crl-25015 130 22 submission submission NOUN crl-25015 130 23 to to ADP crl-25015 130 24 libinsights libinsight NOUN crl-25015 130 25 , , PUNCT crl-25015 130 26 some some DET crl-25015 130 27 human human ADJ crl-25015 130 28 error error NOUN crl-25015 130 29 is be AUX crl-25015 130 30 present present ADJ crl-25015 130 31 in in ADP crl-25015 130 32 that that DET crl-25015 130 33 process process NOUN crl-25015 130 34 . . PUNCT crl-25015 131 1 to to PART crl-25015 131 2 remedy remedy VERB crl-25015 131 3 this this PRON crl-25015 131 4 , , PUNCT crl-25015 131 5 part part NOUN crl-25015 131 6 of of ADP crl-25015 131 7 the the DET crl-25015 131 8 data data NOUN crl-25015 131 9 - - PUNCT crl-25015 131 10 processing processing NOUN crl-25015 131 11 stage stage NOUN crl-25015 131 12 involved involve VERB crl-25015 131 13 using use VERB crl-25015 131 14 regular regular ADJ crl-25015 131 15 expressions expression NOUN crl-25015 131 16 to to PART crl-25015 131 17 identify identify VERB crl-25015 131 18 instances instance NOUN crl-25015 131 19 of of ADP crl-25015 131 20 personal personal ADJ crl-25015 131 21 information information NOUN crl-25015 131 22 ( ( PUNCT crl-25015 131 23 such such ADJ crl-25015 131 24 as as ADP crl-25015 131 25 emails email NOUN crl-25015 131 26 , , PUNCT crl-25015 131 27 phone phone NOUN crl-25015 131 28 numbers number NOUN crl-25015 131 29 , , PUNCT crl-25015 131 30 “ " PUNCT crl-25015 131 31 my my PRON crl-25015 131 32 name name NOUN crl-25015 131 33 is be AUX crl-25015 131 34 _ _ PUNCT crl-25015 131 35 _ _ PUNCT crl-25015 131 36 _ _ PUNCT crl-25015 131 37 _ _ PUNCT crl-25015 131 38 ” " PUNCT crl-25015 131 39 ) ) PUNCT crl-25015 131 40 , , PUNCT crl-25015 131 41 redact redact VERB crl-25015 131 42 targeted target VERB crl-25015 131 43 texts text NOUN crl-25015 131 44 , , PUNCT crl-25015 131 45 and and CCONJ crl-25015 131 46 replace replace VERB crl-25015 131 47 redactions redaction NOUN crl-25015 131 48 with with ADP crl-25015 131 49 placeholders placeholder NOUN crl-25015 131 50 ( ( PUNCT crl-25015 131 51 such such ADJ crl-25015 131 52 as as ADP crl-25015 131 53 “ " PUNCT crl-25015 131 54 nameredacted nameredacte VERB crl-25015 131 55 , , PUNCT crl-25015 131 56 ” " PUNCT crl-25015 131 57 “ " PUNCT crl-25015 131 58 emailredacted emailredacte VERB crl-25015 131 59 ” " PUNCT crl-25015 131 60 ) ) PUNCT crl-25015 131 61 to to PART crl-25015 131 62 preserve preserve VERB crl-25015 131 63 the the DET crl-25015 131 64 structure structure NOUN crl-25015 131 65 of of ADP crl-25015 131 66 the the DET crl-25015 131 67 text text NOUN crl-25015 131 68 while while SCONJ crl-25015 131 69 protecting protect VERB crl-25015 131 70 individuals individual NOUN crl-25015 131 71 . . PUNCT crl-25015 132 1 following follow VERB crl-25015 132 2 all all DET crl-25015 132 3 data datum NOUN crl-25015 132 4 preparation preparation NOUN crl-25015 132 5 procedures procedure NOUN crl-25015 132 6 , , PUNCT crl-25015 132 7 some some DET crl-25015 132 8 vrs vrs PROPN crl-25015 132 9 transcripts transcript NOUN crl-25015 132 10 remained remain VERB crl-25015 132 11 that that PRON crl-25015 132 12 could could AUX crl-25015 132 13 not not PART crl-25015 132 14 be be AUX crl-25015 132 15 incorporated incorporate VERB crl-25015 132 16 into into ADP crl-25015 132 17 the the DET crl-25015 132 18 research research NOUN crl-25015 132 19 process process NOUN crl-25015 132 20 . . PUNCT crl-25015 133 1 these these DET crl-25015 133 2 samples sample NOUN crl-25015 133 3 were be AUX crl-25015 133 4 removed remove VERB crl-25015 133 5 because because SCONJ crl-25015 133 6 they they PRON crl-25015 133 7 did do AUX crl-25015 133 8 not not PART crl-25015 133 9 contain contain VERB crl-25015 133 10 an an DET crl-25015 133 11 original original ADJ crl-25015 133 12 transcript transcript NOUN crl-25015 133 13 , , PUNCT crl-25015 133 14 the the DET crl-25015 133 15 transcript transcript NOUN crl-25015 133 16 consisted consist VERB crl-25015 133 17 entirely entirely ADV crl-25015 133 18 of of ADP crl-25015 133 19 redacted redacted ADJ crl-25015 133 20 information information NOUN crl-25015 133 21 , , PUNCT crl-25015 133 22 or or CCONJ crl-25015 133 23 the the DET crl-25015 133 24 transcript transcript NOUN crl-25015 133 25 was be AUX crl-25015 133 26 a a DET crl-25015 133 27 duplicate duplicate NOUN crl-25015 133 28 of of ADP crl-25015 133 29 another another DET crl-25015 133 30 entry entry NOUN crl-25015 133 31 . . PUNCT crl-25015 134 1 once once SCONJ crl-25015 134 2 these these DET crl-25015 134 3 samples sample NOUN crl-25015 134 4 were be AUX crl-25015 134 5 removed remove VERB crl-25015 134 6 from from ADP crl-25015 134 7 the the DET crl-25015 134 8 dataset dataset NOUN crl-25015 134 9 , , PUNCT crl-25015 134 10 14,604 14,604 NUM crl-25015 134 11 individual individual ADJ crl-25015 134 12 transcripts transcript NOUN crl-25015 134 13 remained remain VERB crl-25015 134 14 for for ADP crl-25015 134 15 evaluation evaluation NOUN crl-25015 134 16 and and CCONJ crl-25015 134 17 modeling modeling NOUN crl-25015 134 18 . . PUNCT crl-25015 135 1 once once SCONJ crl-25015 135 2 all all DET crl-25015 135 3 usable usable ADJ crl-25015 135 4 transcripts transcript NOUN crl-25015 135 5 were be AUX crl-25015 135 6 prepared prepare VERB crl-25015 135 7 and and CCONJ crl-25015 135 8 reduced reduce VERB crl-25015 135 9 down down ADP crl-25015 135 10 to to ADP crl-25015 135 11 just just ADV crl-25015 135 12 the the DET crl-25015 135 13 patronsupplied patronsupplie VERB crl-25015 135 14 text text NOUN crl-25015 135 15 , , PUNCT crl-25015 135 16 the the DET crl-25015 135 17 dataset dataset NOUN crl-25015 135 18 was be AUX crl-25015 135 19 split split VERB crl-25015 135 20 into into ADP crl-25015 135 21 two two NUM crl-25015 135 22 subsets subset NOUN crl-25015 135 23 ( ( PUNCT crl-25015 135 24 split split NOUN crl-25015 135 25 ): ): PUNCT crl-25015 135 26 “ " PUNCT crl-25015 135 27 training training NOUN crl-25015 135 28 ” " PUNCT crl-25015 135 29 and and CCONJ crl-25015 135 30 “ " PUNCT crl-25015 135 31 test test NOUN crl-25015 135 32 . . PUNCT crl-25015 135 33 ” " PUNCT crl-25015 136 1 the the DET crl-25015 136 2 split split ADJ crl-25015 136 3 parameter parameter NOUN crl-25015 136 4 was be AUX crl-25015 136 5 set set VERB crl-25015 136 6 at at ADP crl-25015 136 7 2,000 2,000 NUM crl-25015 136 8 ( ( PUNCT crl-25015 136 9 meaning mean VERB crl-25015 136 10 that that SCONJ crl-25015 136 11 the the DET crl-25015 136 12 most most ADV crl-25015 136 13 recent recent ADJ crl-25015 136 14 2,000 2,000 NUM crl-25015 136 15 vrs vrs NOUN crl-25015 136 16 transcripts transcript NOUN crl-25015 136 17 were be AUX crl-25015 136 18 placed place VERB crl-25015 136 19 into into ADP crl-25015 136 20 the the DET crl-25015 136 21 test test NOUN crl-25015 136 22 - - PUNCT crl-25015 136 23 data data NOUN crl-25015 136 24 subset subset NOUN crl-25015 136 25 and and CCONJ crl-25015 136 26 the the DET crl-25015 136 27 remaining remain VERB crl-25015 136 28 12,604 12,604 NUM crl-25015 136 29 transcripts transcript NOUN crl-25015 136 30 were be AUX crl-25015 136 31 placed place VERB crl-25015 136 32 into into ADP crl-25015 136 33 the the DET crl-25015 136 34 training training NOUN crl-25015 136 35 - - PUNCT crl-25015 136 36 data data NOUN crl-25015 136 37 subset subset NOUN crl-25015 136 38 ) ) PUNCT crl-25015 136 39 . . PUNCT crl-25015 137 1 the the DET crl-25015 137 2 training training NOUN crl-25015 137 3 data datum NOUN crl-25015 137 4 was be AUX crl-25015 137 5 used use VERB crl-25015 137 6 to to PART crl-25015 137 7 define define VERB crl-25015 137 8 and and CCONJ crl-25015 137 9 fit fit VERB crl-25015 137 10 the the DET crl-25015 137 11 underlying underlie VERB crl-25015 137 12 components component NOUN crl-25015 137 13 of of ADP crl-25015 137 14 various various ADJ crl-25015 137 15 stages stage NOUN crl-25015 137 16 in in ADP crl-25015 137 17 the the DET crl-25015 137 18 modeling modeling NOUN crl-25015 137 19 process process NOUN crl-25015 137 20 ( ( PUNCT crl-25015 137 21 trunc trunc NOUN crl-25015 137 22 , , PUNCT crl-25015 137 23 dict dict ADJ crl-25015 137 24 , , PUNCT crl-25015 137 25 d2v d2v VERB crl-25015 137 26 , , PUNCT crl-25015 137 27 and and CCONJ crl-25015 137 28 read read VERB crl-25015 137 29 ) ) PUNCT crl-25015 137 30 . . PUNCT crl-25015 138 1 then then ADV crl-25015 138 2 , , PUNCT crl-25015 138 3 by by ADP crl-25015 138 4 evaluating evaluate VERB crl-25015 138 5 the the DET crl-25015 138 6 final final ADJ crl-25015 138 7 predictive predictive ADJ crl-25015 138 8 accuracy accuracy NOUN crl-25015 138 9 of of ADP crl-25015 138 10 each each DET crl-25015 138 11 individual individual ADJ crl-25015 138 12 model model NOUN crl-25015 138 13 using use VERB crl-25015 138 14 both both CCONJ crl-25015 138 15 the the DET crl-25015 138 16 training training NOUN crl-25015 138 17 data datum NOUN crl-25015 138 18 and and CCONJ crl-25015 138 19 test test NOUN crl-25015 138 20 data datum NOUN crl-25015 138 21 , , PUNCT crl-25015 138 22 the the DET crl-25015 138 23 authors author NOUN crl-25015 138 24 evaluated evaluate VERB crl-25015 138 25 both both CCONJ crl-25015 138 26 the the DET crl-25015 138 27 internal internal ADJ crl-25015 138 28 and and CCONJ crl-25015 138 29 external external ADJ crl-25015 138 30 validity validity NOUN crl-25015 138 31 of of ADP crl-25015 138 32 the the DET crl-25015 138 33 modeling modeling NOUN crl-25015 138 34 process process NOUN crl-25015 138 35 . . PUNCT crl-25015 139 1 model model NOUN crl-25015 139 2 : : PUNCT crl-25015 139 3 parameters parameter NOUN crl-25015 139 4 in in ADP crl-25015 139 5 any any DET crl-25015 139 6 nlp nlp NOUN crl-25015 139 7 or or CCONJ crl-25015 139 8 text text NOUN crl-25015 139 9 - - PUNCT crl-25015 139 10 driven drive VERB crl-25015 139 11 task task NOUN crl-25015 139 12 , , PUNCT crl-25015 139 13 researchers researcher NOUN crl-25015 139 14 are be AUX crl-25015 139 15 faced face VERB crl-25015 139 16 with with ADP crl-25015 139 17 a a DET crl-25015 139 18 wide wide ADJ crl-25015 139 19 variety variety NOUN crl-25015 139 20 of of ADP crl-25015 139 21 modeling modeling NOUN crl-25015 139 22 choices choice NOUN crl-25015 139 23 . . PUNCT crl-25015 140 1 for for ADP crl-25015 140 2 instance instance NOUN crl-25015 140 3 , , PUNCT crl-25015 140 4 in in ADP crl-25015 140 5 the the DET crl-25015 140 6 context context NOUN crl-25015 140 7 of of ADP crl-25015 140 8 developing develop VERB crl-25015 140 9 models model NOUN crl-25015 140 10 for for ADP crl-25015 140 11 predicting predict VERB crl-25015 140 12 vrs vrs PROPN crl-25015 140 13 chat chat NOUN crl-25015 140 14 difficulty difficulty NOUN crl-25015 140 15 , , PUNCT crl-25015 140 16 one one NUM crl-25015 140 17 open open ADJ crl-25015 140 18 question question NOUN crl-25015 140 19 pertains pertain NOUN crl-25015 140 20 to to ADP crl-25015 140 21 how how SCONJ crl-25015 140 22 read read VERB crl-25015 140 23 scale scale NOUN crl-25015 140 24 ratings rating NOUN crl-25015 140 25 should should AUX crl-25015 140 26 be be AUX crl-25015 140 27 grouped group VERB crl-25015 140 28 and and CCONJ crl-25015 140 29 labeled label VERB crl-25015 140 30 as as ADP crl-25015 140 31 “ " PUNCT crl-25015 140 32 easier easy ADJ crl-25015 140 33 ” " PUNCT crl-25015 140 34 or or CCONJ crl-25015 140 35 “ " PUNCT crl-25015 140 36 harder hard ADJ crl-25015 140 37 . . PUNCT crl-25015 140 38 ” " PUNCT crl-25015 141 1 since since SCONJ crl-25015 141 2 no no DET crl-25015 141 3 model model NOUN crl-25015 141 4 is be AUX crl-25015 141 5 perfect perfect ADJ crl-25015 141 6 , , PUNCT crl-25015 141 7 segmenting segmenting ADJ crl-25015 141 8 read read NOUN crl-25015 141 9 scale scale NOUN crl-25015 141 10 ratings rating NOUN crl-25015 141 11 at at ADP crl-25015 141 12 lower low ADJ crl-25015 141 13 or or CCONJ crl-25015 141 14 higher high ADJ crl-25015 141 15 thresholds threshold NOUN crl-25015 141 16 will will AUX crl-25015 141 17 necessarily necessarily ADV crl-25015 141 18 affect affect VERB crl-25015 141 19 model model NOUN crl-25015 141 20 performance performance NOUN crl-25015 141 21 — — PUNCT crl-25015 141 22 specifically specifically ADV crl-25015 141 23 , , PUNCT crl-25015 141 24 the the DET crl-25015 141 25 tradeoff tradeoff NOUN crl-25015 141 26 between between ADP crl-25015 141 27 precision precision NOUN crl-25015 141 28 and and CCONJ crl-25015 141 29 recall recall NOUN crl-25015 141 30 . . PUNCT crl-25015 142 1 an an DET crl-25015 142 2 individual individual ADJ crl-25015 142 3 library library NOUN crl-25015 142 4 service service NOUN crl-25015 142 5 manager manager NOUN crl-25015 142 6 choosing choose VERB crl-25015 142 7 to to PART crl-25015 142 8 implement implement VERB crl-25015 142 9 these these DET crl-25015 142 10 types type NOUN crl-25015 142 11 of of ADP crl-25015 142 12 models model NOUN crl-25015 142 13 will will AUX crl-25015 142 14 need need VERB crl-25015 142 15 to to PART crl-25015 142 16 set set VERB crl-25015 142 17 the the DET crl-25015 142 18 threshold threshold NOUN crl-25015 142 19 according accord VERB crl-25015 142 20 to to ADP crl-25015 142 21 their their PRON crl-25015 142 22 preferences preference NOUN crl-25015 142 23 with with ADP crl-25015 142 24 respect respect NOUN crl-25015 142 25 to to ADP crl-25015 142 26 different different ADJ crl-25015 142 27 measures measure NOUN crl-25015 142 28 of of ADP crl-25015 142 29 predictive predictive ADJ crl-25015 142 30 accuracy accuracy NOUN crl-25015 142 31 . . PUNCT crl-25015 143 1 ultimately ultimately ADV crl-25015 143 2 , , PUNCT crl-25015 143 3 when when SCONJ crl-25015 143 4 deciding decide VERB crl-25015 143 5 how how SCONJ crl-25015 143 6 to to PART crl-25015 143 7 segment segment VERB crl-25015 143 8 read read VERB crl-25015 143 9 scale scale NOUN crl-25015 143 10 ratings rating NOUN crl-25015 143 11 , , PUNCT crl-25015 143 12 as as ADV crl-25015 143 13 well well ADV crl-25015 143 14 as as ADP crl-25015 143 15 making make VERB crl-25015 143 16 choices choice NOUN crl-25015 143 17 for for ADP crl-25015 143 18 many many ADJ crl-25015 143 19 other other ADJ crl-25015 143 20 modeling modeling NOUN crl-25015 143 21 parameters parameter NOUN crl-25015 143 22 , , PUNCT crl-25015 143 23 identifying identify VERB crl-25015 143 24 the the DET crl-25015 143 25 “ " PUNCT crl-25015 143 26 best good ADJ crl-25015 143 27 ” " PUNCT crl-25015 143 28 set set NOUN crl-25015 143 29 of of ADP crl-25015 143 30 decisions decision NOUN crl-25015 143 31 is be AUX crl-25015 143 32 subjective subjective ADJ crl-25015 143 33 and and CCONJ crl-25015 143 34 dependent dependent ADJ crl-25015 143 35 on on ADP crl-25015 143 36 individual individual ADJ crl-25015 143 37 library library NOUN crl-25015 143 38 service service NOUN crl-25015 143 39 managers manager NOUN crl-25015 143 40 ’ ’ PART crl-25015 143 41 strategic strategic ADJ crl-25015 143 42 objectives objective NOUN crl-25015 143 43 . . PUNCT crl-25015 144 1 to to ADP crl-25015 144 2 that that DET crl-25015 144 3 end end NOUN crl-25015 144 4 , , PUNCT crl-25015 144 5 attempting attempt VERB crl-25015 144 6 to to PART crl-25015 144 7 find find VERB crl-25015 144 8 any any DET crl-25015 144 9 single single ADJ crl-25015 144 10 “ " PUNCT crl-25015 144 11 best good ADJ crl-25015 144 12 ” " PUNCT crl-25015 144 13 model model NOUN crl-25015 144 14 formulation formulation NOUN crl-25015 144 15 was be AUX crl-25015 144 16 beyond beyond ADP crl-25015 144 17 the the DET crl-25015 144 18 scope scope NOUN crl-25015 144 19 of of ADP crl-25015 144 20 the the DET crl-25015 144 21 research research NOUN crl-25015 144 22 project project NOUN crl-25015 144 23 . . PUNCT crl-25015 145 1 instead instead ADV crl-25015 145 2 , , PUNCT crl-25015 145 3 the the DET crl-25015 145 4 authors author NOUN crl-25015 145 5 made make VERB crl-25015 145 6 multiple multiple ADJ crl-25015 145 7 decisions decision NOUN crl-25015 145 8 for for ADP crl-25015 145 9 each each PRON crl-25015 145 10 of of ADP crl-25015 145 11 the the DET crl-25015 145 12 primary primary ADJ crl-25015 145 13 modeling modeling NOUN crl-25015 145 14 parameters parameter NOUN crl-25015 145 15 and and CCONJ crl-25015 145 16 tested test VERB crl-25015 145 17 every every DET crl-25015 145 18 possible possible ADJ crl-25015 145 19 combination combination NOUN crl-25015 145 20 of of ADP crl-25015 145 21 model model NOUN crl-25015 145 22 formulation formulation NOUN crl-25015 145 23 . . PUNCT crl-25015 146 1 this this DET crl-25015 146 2 approach approach NOUN crl-25015 146 3 enabled enable VERB crl-25015 146 4 the the DET crl-25015 146 5 authors author NOUN crl-25015 146 6 to to PART crl-25015 146 7 evaluate evaluate VERB crl-25015 146 8 and and CCONJ crl-25015 146 9 aggregate aggregate VERB crl-25015 146 10 model model NOUN crl-25015 146 11 performance performance NOUN crl-25015 146 12 metrics metric NOUN crl-25015 146 13 from from ADP crl-25015 146 14 a a DET crl-25015 146 15 large large ADJ crl-25015 146 16 sample sample NOUN crl-25015 146 17 of of ADP crl-25015 146 18 models model NOUN crl-25015 146 19 that that PRON crl-25015 146 20 were be AUX crl-25015 146 21 independent independent ADJ crl-25015 146 22 of of ADP crl-25015 146 23 one one NUM crl-25015 146 24 another another DET crl-25015 146 25 but but CCONJ crl-25015 146 26 still still ADV crl-25015 146 27 related relate VERB crl-25015 146 28 through through ADP crl-25015 146 29 shared share VERB crl-25015 146 30 characteristics characteristic NOUN crl-25015 146 31 . . PUNCT crl-25015 147 1 a a DET crl-25015 147 2 total total NOUN crl-25015 147 3 of of ADP crl-25015 147 4 640 640 NUM crl-25015 147 5 unique unique ADJ crl-25015 147 6 individual individual ADJ crl-25015 147 7 models model NOUN crl-25015 147 8 were be AUX crl-25015 147 9 created create VERB crl-25015 147 10 and and CCONJ crl-25015 147 11 evaluated evaluate VERB crl-25015 147 12 . . PUNCT crl-25015 148 1 the the DET crl-25015 148 2 model model NOUN crl-25015 148 3 parameters parameter NOUN crl-25015 148 4 used use VERB crl-25015 148 5 in in ADP crl-25015 148 6 the the DET crl-25015 148 7 models model NOUN crl-25015 148 8 are be AUX crl-25015 148 9 indicated indicate VERB crl-25015 148 10 in in ADP crl-25015 148 11 table table NOUN crl-25015 148 12 1 1 NUM crl-25015 148 13 . . NUM crl-25015 148 14 690 690 NUM crl-25015 148 15 college college PROPN crl-25015 148 16 & & CCONJ crl-25015 148 17 research research PROPN crl-25015 148 18 libraries library NOUN crl-25015 148 19 july july PROPN crl-25015 148 20 2021 2021 NUM crl-25015 148 21 • • PROPN crl-25015 148 22 rand rand NOUN crl-25015 148 23 — — PUNCT crl-25015 148 24 random random ADJ crl-25015 148 25 seed seed NOUN crl-25015 148 26 ( ( PUNCT crl-25015 148 27 rand_0 rand_0 NOUN crl-25015 148 28 , , PUNCT crl-25015 148 29 … … PUNCT crl-25015 148 30 , , PUNCT crl-25015 148 31 rand_19 rand_19 PROPN crl-25015 148 32 ) ) PUNCT crl-25015 148 33 at at ADP crl-25015 148 34 two two NUM crl-25015 148 35 later later ADJ crl-25015 148 36 stages stage NOUN crl-25015 148 37 in in ADP crl-25015 148 38 the the DET crl-25015 148 39 modeling modeling NOUN crl-25015 148 40 process process NOUN crl-25015 148 41 , , PUNCT crl-25015 148 42 specifically specifically ADV crl-25015 148 43 those those PRON crl-25015 148 44 pertaining pertain VERB crl-25015 148 45 to to ADP crl-25015 148 46 the the DET crl-25015 148 47 d2v d2v NOUN crl-25015 148 48 and and CCONJ crl-25015 148 49 read read VERB crl-25015 148 50 parameter parameter NOUN crl-25015 148 51 options option NOUN crl-25015 148 52 , , PUNCT crl-25015 148 53 the the DET crl-25015 148 54 models model NOUN crl-25015 148 55 used use VERB crl-25015 148 56 neural neural ADJ crl-25015 148 57 - - PUNCT crl-25015 148 58 network network NOUN crl-25015 148 59 processes process NOUN crl-25015 148 60 to to PART crl-25015 148 61 fit fit VERB crl-25015 148 62 the the DET crl-25015 148 63 model model NOUN crl-25015 148 64 to to ADP crl-25015 148 65 the the DET crl-25015 148 66 data datum NOUN crl-25015 148 67 . . PUNCT crl-25015 149 1 for for SCONJ crl-25015 149 2 these these DET crl-25015 149 3 processes process NOUN crl-25015 149 4 to to PART crl-25015 149 5 function function VERB crl-25015 149 6 , , PUNCT crl-25015 149 7 the the DET crl-25015 149 8 models model NOUN crl-25015 149 9 required require VERB crl-25015 149 10 matrices matrix NOUN crl-25015 149 11 containing contain VERB crl-25015 149 12 randomly randomly ADV crl-25015 149 13 generated generate VERB crl-25015 149 14 values value NOUN crl-25015 149 15 . . PUNCT crl-25015 150 1 as as SCONJ crl-25015 150 2 each each DET crl-25015 150 3 model model NOUN crl-25015 150 4 was be AUX crl-25015 150 5 trained train VERB crl-25015 150 6 and and CCONJ crl-25015 150 7 fitted fit VERB crl-25015 150 8 to to ADP crl-25015 150 9 the the DET crl-25015 150 10 data datum NOUN crl-25015 150 11 , , PUNCT crl-25015 150 12 the the DET crl-25015 150 13 values value NOUN crl-25015 150 14 in in ADP crl-25015 150 15 the the DET crl-25015 150 16 matrices matrix NOUN crl-25015 150 17 were be AUX crl-25015 150 18 iteratively iteratively ADV crl-25015 150 19 updated update VERB crl-25015 150 20 until until SCONJ crl-25015 150 21 the the DET crl-25015 150 22 values value NOUN crl-25015 150 23 converged converge VERB crl-25015 150 24 at at ADP crl-25015 150 25 an an DET crl-25015 150 26 optimal optimal ADJ crl-25015 150 27 set set NOUN crl-25015 150 28 of of ADP crl-25015 150 29 values value NOUN crl-25015 150 30 . . PUNCT crl-25015 151 1 however however ADV crl-25015 151 2 , , PUNCT crl-25015 151 3 because because SCONJ crl-25015 151 4 it it PRON crl-25015 151 5 was be AUX crl-25015 151 6 impossible impossible ADJ crl-25015 151 7 to to PART crl-25015 151 8 know know VERB crl-25015 151 9 if if SCONJ crl-25015 151 10 the the DET crl-25015 151 11 values value NOUN crl-25015 151 12 for for ADP crl-25015 151 13 any any DET crl-25015 151 14 one one NUM crl-25015 151 15 model model NOUN crl-25015 151 16 converged converge VERB crl-25015 151 17 at at ADP crl-25015 151 18 truly truly ADV crl-25015 151 19 optimal optimal ADJ crl-25015 151 20 sets set NOUN crl-25015 151 21 of of ADP crl-25015 151 22 values value NOUN crl-25015 151 23 , , PUNCT crl-25015 151 24 as as SCONJ crl-25015 151 25 opposed oppose VERB crl-25015 151 26 to to ADP crl-25015 151 27 converging converge VERB crl-25015 151 28 at at ADP crl-25015 151 29 a a DET crl-25015 151 30 suboptimal suboptimal ADJ crl-25015 151 31 local local ADJ crl-25015 151 32 - - PUNCT crl-25015 151 33 minima minima PROPN crl-25015 151 34 , , PUNCT crl-25015 151 35 it it PRON crl-25015 151 36 was be AUX crl-25015 151 37 possible possible ADJ crl-25015 151 38 that that SCONJ crl-25015 151 39 an an DET crl-25015 151 40 individual individual ADJ crl-25015 151 41 model model NOUN crl-25015 151 42 could could AUX crl-25015 151 43 perform perform VERB crl-25015 151 44 abnormally abnormally ADV crl-25015 151 45 well well ADV crl-25015 151 46 or or CCONJ crl-25015 151 47 poorly poorly ADV crl-25015 151 48 due due ADP crl-25015 151 49 to to ADP crl-25015 151 50 random random ADJ crl-25015 151 51 chance chance NOUN crl-25015 151 52 . . PUNCT crl-25015 152 1 to to PART crl-25015 152 2 counter counter VERB crl-25015 152 3 this this PRON crl-25015 152 4 , , PUNCT crl-25015 152 5 the the DET crl-25015 152 6 authors author NOUN crl-25015 152 7 incorporated incorporate VERB crl-25015 152 8 the the DET crl-25015 152 9 rand rand PROPN crl-25015 152 10 parameter parameter NOUN crl-25015 152 11 to to PART crl-25015 152 12 manually manually ADV crl-25015 152 13 change change VERB crl-25015 152 14 and and CCONJ crl-25015 152 15 control control VERB crl-25015 152 16 the the DET crl-25015 152 17 random random ADJ crl-25015 152 18 “ " PUNCT crl-25015 152 19 seed seed NOUN crl-25015 152 20 , , PUNCT crl-25015 152 21 ” " PUNCT crl-25015 152 22 or or CCONJ crl-25015 152 23 initial initial ADJ crl-25015 152 24 value value NOUN crl-25015 152 25 , , PUNCT crl-25015 152 26 for for ADP crl-25015 152 27 each each DET crl-25015 152 28 model model NOUN crl-25015 152 29 . . PUNCT crl-25015 153 1 twenty twenty NUM crl-25015 153 2 unique unique ADJ crl-25015 153 3 values value NOUN crl-25015 153 4 were be AUX crl-25015 153 5 used use VERB crl-25015 153 6 for for ADP crl-25015 153 7 the the DET crl-25015 153 8 rand rand PROPN crl-25015 153 9 parameter parameter NOUN crl-25015 153 10 . . PUNCT crl-25015 154 1 consequently consequently ADV crl-25015 154 2 , , PUNCT crl-25015 154 3 for for ADP crl-25015 154 4 every every DET crl-25015 154 5 combination combination NOUN crl-25015 154 6 of of ADP crl-25015 154 7 the the DET crl-25015 154 8 remaining remain VERB crl-25015 154 9 modeling modeling NOUN crl-25015 154 10 parameters parameter NOUN crl-25015 154 11 , , PUNCT crl-25015 154 12 each each DET crl-25015 154 13 model model NOUN crl-25015 154 14 was be AUX crl-25015 154 15 refit refit ADJ crl-25015 154 16 and and CCONJ crl-25015 154 17 evaluated evaluate VERB crl-25015 154 18 20 20 NUM crl-25015 154 19 times time NOUN crl-25015 154 20 using use VERB crl-25015 154 21 a a DET crl-25015 154 22 distinct distinct ADJ crl-25015 154 23 random random ADJ crl-25015 154 24 seed seed NOUN crl-25015 154 25 . . PUNCT crl-25015 155 1 this this PRON crl-25015 155 2 ensured ensure VERB crl-25015 155 3 that that SCONJ crl-25015 155 4 experimental experimental ADJ crl-25015 155 5 results result NOUN crl-25015 155 6 were be AUX crl-25015 155 7 robust robust ADJ crl-25015 155 8 to to ADP crl-25015 155 9 the the DET crl-25015 155 10 effects effect NOUN crl-25015 155 11 of of ADP crl-25015 155 12 outliers outlier NOUN crl-25015 155 13 . . PUNCT crl-25015 156 1 • • PROPN crl-25015 156 2 trunc trunc NOUN crl-25015 156 3 — — PUNCT crl-25015 156 4 truncating truncating NOUN crl-25015 156 5 text text NOUN crl-25015 156 6 inputs input NOUN crl-25015 156 7 ( ( PUNCT crl-25015 156 8 trunc_10 trunc_10 NOUN crl-25015 156 9 and and CCONJ crl-25015 156 10 trunc_20 trunc_20 NUM crl-25015 156 11 ) ) PUNCT crl-25015 156 12 for for ADP crl-25015 156 13 each each DET crl-25015 156 14 sample sample NOUN crl-25015 156 15 , , PUNCT crl-25015 156 16 the the DET crl-25015 156 17 input input NOUN crl-25015 156 18 strings string NOUN crl-25015 156 19 were be AUX crl-25015 156 20 truncated truncate VERB crl-25015 156 21 to to ADP crl-25015 156 22 either either CCONJ crl-25015 156 23 the the DET crl-25015 156 24 first first ADJ crl-25015 156 25 10 10 NUM crl-25015 156 26 or or CCONJ crl-25015 156 27 20 20 NUM crl-25015 156 28 space space NOUN crl-25015 156 29 - - PUNCT crl-25015 156 30 delimited delimit VERB crl-25015 156 31 tokens token NOUN crl-25015 156 32 . . PUNCT crl-25015 157 1 this this PRON crl-25015 157 2 functioned function VERB crl-25015 157 3 to to PART crl-25015 157 4 provide provide VERB crl-25015 157 5 the the DET crl-25015 157 6 model model NOUN crl-25015 157 7 with with ADP crl-25015 157 8 a a DET crl-25015 157 9 minimal minimal ADJ crl-25015 157 10 amount amount NOUN crl-25015 157 11 of of ADP crl-25015 157 12 text text NOUN crl-25015 157 13 data datum NOUN crl-25015 157 14 to to PART crl-25015 157 15 ensure ensure VERB crl-25015 157 16 model model NOUN crl-25015 157 17 predictions prediction NOUN crl-25015 157 18 were be AUX crl-25015 157 19 based base VERB crl-25015 157 20 strictly strictly ADV crl-25015 157 21 on on ADP crl-25015 157 22 the the DET crl-25015 157 23 first first ADJ crl-25015 157 24 small small ADJ crl-25015 157 25 pieces piece NOUN crl-25015 157 26 of of ADP crl-25015 157 27 information information NOUN crl-25015 157 28 provided provide VERB crl-25015 157 29 by by ADP crl-25015 157 30 the the DET crl-25015 157 31 patron patron NOUN crl-25015 157 32 at at ADP crl-25015 157 33 the the DET crl-25015 157 34 outset outset NOUN crl-25015 157 35 of of ADP crl-25015 157 36 a a DET crl-25015 157 37 vrs vrs NOUN crl-25015 157 38 interaction interaction NOUN crl-25015 157 39 . . PUNCT crl-25015 158 1 drawing draw VERB crl-25015 158 2 on on ADP crl-25015 158 3 the the DET crl-25015 158 4 example example NOUN crl-25015 158 5 in in ADP crl-25015 158 6 figure figure NOUN crl-25015 158 7 4 4 NUM crl-25015 158 8 , , PUNCT crl-25015 158 9 the the DET crl-25015 158 10 following follow VERB crl-25015 158 11 examples example NOUN crl-25015 158 12 show show VERB crl-25015 158 13 how how SCONJ crl-25015 158 14 the the DET crl-25015 158 15 trunc trunc NOUN crl-25015 158 16 parameter parameter NOUN crl-25015 158 17 functioned function VERB crl-25015 158 18 to to PART crl-25015 158 19 change change VERB crl-25015 158 20 the the DET crl-25015 158 21 amount amount NOUN crl-25015 158 22 of of ADP crl-25015 158 23 text text NOUN crl-25015 158 24 data datum NOUN crl-25015 158 25 that that PRON crl-25015 158 26 was be AUX crl-25015 158 27 input input NOUN crl-25015 158 28 into into ADP crl-25015 158 29 the the DET crl-25015 158 30 model model NOUN crl-25015 158 31 for for ADP crl-25015 158 32 each each DET crl-25015 158 33 sample sample NOUN crl-25015 158 34 : : PUNCT crl-25015 158 35 □ □ PUNCT crl-25015 158 36 trunc_10 trunc_10 NOUN crl-25015 158 37 input input ADJ crl-25015 158 38 example example NOUN crl-25015 158 39 : : PUNCT crl-25015 158 40 “ " PUNCT crl-25015 158 41 i i PRON crl-25015 158 42 ’m ’m AUX crl-25015 158 43 looking look VERB crl-25015 158 44 for for ADP crl-25015 158 45 a a DET crl-25015 158 46 19th 19th ADJ crl-25015 158 47 - - PUNCT crl-25015 158 48 century century NOUN crl-25015 158 49 article article NOUN crl-25015 158 50 about about ADP crl-25015 158 51 women woman NOUN crl-25015 158 52 ’s ’s PART crl-25015 158 53 fashion fashion NOUN crl-25015 158 54 ” " PUNCT crl-25015 158 55 □ □ PUNCT crl-25015 158 56 trunc_20 trunc_20 PROPN crl-25015 158 57 input input NOUN crl-25015 158 58 example example NOUN crl-25015 158 59 : : PUNCT crl-25015 158 60 “ " PUNCT crl-25015 158 61 i i PRON crl-25015 158 62 ’m ’m AUX crl-25015 158 63 looking look VERB crl-25015 158 64 for for ADP crl-25015 158 65 a a DET crl-25015 158 66 19th 19th ADJ crl-25015 158 67 - - PUNCT crl-25015 158 68 century century NOUN crl-25015 158 69 article article NOUN crl-25015 158 70 about about ADP crl-25015 158 71 women woman NOUN crl-25015 158 72 ’s ’s PART crl-25015 158 73 fashion fashion NOUN crl-25015 158 74 in in ADP crl-25015 158 75 france france PROPN crl-25015 158 76 but but CCONJ crl-25015 158 77 ca can AUX crl-25015 158 78 n’t not PART crl-25015 158 79 seem seem VERB crl-25015 158 80 to to PART crl-25015 158 81 find find VERB crl-25015 158 82 anything anything PRON crl-25015 158 83 ? ? PUNCT crl-25015 159 1 do do AUX crl-25015 159 2 you you PRON crl-25015 159 3 ” " PUNCT crl-25015 159 4 • • INTJ crl-25015 159 5 tag tag NOUN crl-25015 159 6 — — PUNCT crl-25015 159 7 tagging tag VERB crl-25015 159 8 documents document NOUN crl-25015 159 9 ( ( PUNCT crl-25015 159 10 tag_0 tag_0 PROPN crl-25015 159 11 and and CCONJ crl-25015 159 12 tag_1 tag_1 SPACE crl-25015 159 13 ) ) PUNCT crl-25015 159 14 following follow VERB crl-25015 159 15 truncation truncation NOUN crl-25015 159 16 , , PUNCT crl-25015 159 17 the the DET crl-25015 159 18 input input NOUN crl-25015 159 19 string string NOUN crl-25015 159 20 for for ADP crl-25015 159 21 each each DET crl-25015 159 22 sample sample NOUN crl-25015 159 23 was be AUX crl-25015 159 24 searched search VERB crl-25015 159 25 for for ADP crl-25015 159 26 the the DET crl-25015 159 27 presence presence NOUN crl-25015 159 28 of of ADP crl-25015 159 29 specific specific ADJ crl-25015 159 30 patterns pattern NOUN crl-25015 159 31 ( ( PUNCT crl-25015 159 32 such such ADJ crl-25015 159 33 as as ADP crl-25015 159 34 “ " PUNCT crl-25015 159 35 print print NOUN crl-25015 159 36 in in ADP crl-25015 159 37 color color NOUN crl-25015 159 38 ” " PUNCT crl-25015 159 39 ) ) PUNCT crl-25015 159 40 and and CCONJ crl-25015 159 41 labeled label VERB crl-25015 159 42 with with ADP crl-25015 159 43 corresponding corresponding ADJ crl-25015 159 44 tags tag NOUN crl-25015 159 45 ( ( PUNCT crl-25015 159 46 such such ADJ crl-25015 159 47 as as ADP crl-25015 159 48 “ " PUNCT crl-25015 159 49 tagprinting tagprinte VERB crl-25015 159 50 ” " PUNCT crl-25015 159 51 ) ) PUNCT crl-25015 159 52 . . PUNCT crl-25015 160 1 the the DET crl-25015 160 2 authors author NOUN crl-25015 160 3 used use VERB crl-25015 160 4 the the DET crl-25015 160 5 tag tag NOUN crl-25015 160 6 - - PUNCT crl-25015 160 7 labels label NOUN crl-25015 160 8 and and CCONJ crl-25015 160 9 patterns pattern NOUN crl-25015 160 10 that that PRON crl-25015 160 11 were be AUX crl-25015 160 12 outlined outline VERB crl-25015 160 13 in in ADP crl-25015 160 14 prior prior ADJ crl-25015 160 15 work.27 work.27 ADV crl-25015 160 16 each each DET crl-25015 160 17 individual individual ADJ crl-25015 160 18 input input NOUN crl-25015 160 19 string string NOUN crl-25015 160 20 could could AUX crl-25015 160 21 be be AUX crl-25015 160 22 labeled label VERB crl-25015 160 23 with with ADP crl-25015 160 24 zero zero NUM crl-25015 160 25 , , PUNCT crl-25015 160 26 one one NUM crl-25015 160 27 , , PUNCT crl-25015 160 28 or or CCONJ crl-25015 160 29 multiple multiple ADJ crl-25015 160 30 tags tag NOUN crl-25015 160 31 as as ADP crl-25015 160 32 appropriate appropriate ADJ crl-25015 160 33 . . PUNCT crl-25015 161 1 in in ADP crl-25015 161 2 some some DET crl-25015 161 3 instances instance NOUN crl-25015 161 4 , , PUNCT crl-25015 161 5 the the DET crl-25015 161 6 pattern pattern NOUN crl-25015 161 7 represented represent VERB crl-25015 161 8 literal literal ADJ crl-25015 161 9 strings string NOUN crl-25015 161 10 of of ADP crl-25015 161 11 text text NOUN crl-25015 161 12 . . PUNCT crl-25015 162 1 in in ADP crl-25015 162 2 other other ADJ crl-25015 162 3 instances instance NOUN crl-25015 162 4 , , PUNCT crl-25015 162 5 the the DET crl-25015 162 6 patterns pattern NOUN crl-25015 162 7 were be AUX crl-25015 162 8 defined define VERB crl-25015 162 9 computationally computationally ADV crl-25015 162 10 using use VERB crl-25015 162 11 “ " PUNCT crl-25015 162 12 regular regular ADJ crl-25015 162 13 expressions expression NOUN crl-25015 162 14 ” " PUNCT crl-25015 162 15 as as SCONJ crl-25015 162 16 implemented implement VERB crl-25015 162 17 in in ADP crl-25015 162 18 the the DET crl-25015 162 19 python python NOUN crl-25015 162 20 programming programming NOUN crl-25015 162 21 language.28 language.28 NOUN crl-25015 162 22 table table NOUN crl-25015 162 23 2 2 NUM crl-25015 162 24 shows show VERB crl-25015 162 25 three three NUM crl-25015 162 26 examples example NOUN crl-25015 162 27 of of ADP crl-25015 162 28 the the DET crl-25015 162 29 labels label NOUN crl-25015 162 30 for for ADP crl-25015 162 31 individual individual ADJ crl-25015 162 32 tags tag NOUN crl-25015 162 33 , , PUNCT crl-25015 162 34 the the DET crl-25015 162 35 pattern pattern NOUN crl-25015 162 36 - - PUNCT crl-25015 162 37 matching match VERB crl-25015 162 38 criteria criterion NOUN crl-25015 162 39 that that PRON crl-25015 162 40 had have VERB crl-25015 162 41 to to PART crl-25015 162 42 be be AUX crl-25015 162 43 present present ADJ crl-25015 162 44 in in ADP crl-25015 162 45 the the DET crl-25015 162 46 truncated truncated ADJ crl-25015 162 47 text text NOUN crl-25015 162 48 , , PUNCT crl-25015 162 49 and and CCONJ crl-25015 162 50 the the DET crl-25015 162 51 conceptual conceptual ADJ crl-25015 162 52 definition definition NOUN crl-25015 162 53 for for ADP crl-25015 162 54 each each DET crl-25015 162 55 tag tag NOUN crl-25015 162 56 . . PUNCT crl-25015 163 1 for for ADP crl-25015 163 2 a a DET crl-25015 163 3 full full ADJ crl-25015 163 4 listing listing NOUN crl-25015 163 5 of of ADP crl-25015 163 6 applied applied ADJ crl-25015 163 7 tags tag NOUN crl-25015 163 8 and and CCONJ crl-25015 163 9 associated associate VERB crl-25015 163 10 text text NOUN crl-25015 163 11 patterns pattern NOUN crl-25015 163 12 , , PUNCT crl-25015 163 13 see see VERB crl-25015 163 14 appendix appendix PROPN crl-25015 163 15 . . PUNCT crl-25015 164 1 table table NOUN crl-25015 164 2 1 1 NUM crl-25015 164 3 modeling modeling NOUN crl-25015 164 4 parameter parameter NOUN crl-25015 164 5 options option NOUN crl-25015 164 6 parameter parameter NOUN crl-25015 164 7 options option NOUN crl-25015 164 8 rand rand PROPN crl-25015 164 9 0 0 NUM crl-25015 164 10 , , PUNCT crl-25015 164 11 1 1 NUM crl-25015 164 12 , , PUNCT crl-25015 164 13 … … PUNCT crl-25015 164 14 , , PUNCT crl-25015 164 15 19 19 NUM crl-25015 164 16 trunc trunc NOUN crl-25015 164 17 10 10 NUM crl-25015 164 18 20 20 NUM crl-25015 164 19 tag tag NOUN crl-25015 164 20 0 0 NUM crl-25015 164 21 1 1 NUM crl-25015 164 22 dict dict NOUN crl-25015 164 23 full full ADJ crl-25015 164 24 narrow narrow ADJ crl-25015 164 25 d2v d2v NOUN crl-25015 164 26 75 75 NUM crl-25015 164 27 150 150 NUM crl-25015 164 28 read read VERB crl-25015 164 29 1v2 1v2 NUM crl-25015 164 30 2v3 2v3 NUM crl-25015 164 31 using use VERB crl-25015 164 32 machine machine NOUN crl-25015 164 33 learning learning NOUN crl-25015 164 34 to to PART crl-25015 164 35 predict predict VERB crl-25015 164 36 chat chat VERB crl-25015 164 37 difficulty difficulty NOUN crl-25015 164 38 691 691 NUM crl-25015 164 39 in in ADP crl-25015 164 40 model model NOUN crl-25015 164 41 formulations formulation NOUN crl-25015 164 42 using use VERB crl-25015 164 43 tag_1 tag_1 SPACE crl-25015 164 44 , , PUNCT crl-25015 164 45 tags tag NOUN crl-25015 164 46 were be AUX crl-25015 164 47 used use VERB crl-25015 164 48 to to PART crl-25015 164 49 supplement supplement VERB crl-25015 164 50 the the DET crl-25015 164 51 training training NOUN crl-25015 164 52 of of ADP crl-25015 164 53 document document NOUN crl-25015 164 54 - - PUNCT crl-25015 164 55 embedding embed VERB crl-25015 164 56 models model NOUN crl-25015 164 57 and and CCONJ crl-25015 164 58 the the DET crl-25015 164 59 generation generation NOUN crl-25015 164 60 of of ADP crl-25015 164 61 individual individual ADJ crl-25015 164 62 document document NOUN crl-25015 164 63 - - PUNCT crl-25015 164 64 embeddings embedding NOUN crl-25015 164 65 ( ( PUNCT crl-25015 164 66 d2v d2v NOUN crl-25015 164 67 ) ) PUNCT crl-25015 164 68 for for ADP crl-25015 164 69 individual individual ADJ crl-25015 164 70 samples sample NOUN crl-25015 164 71 . . PUNCT crl-25015 165 1 for for ADP crl-25015 165 2 model model NOUN crl-25015 165 3 formulation formulation NOUN crl-25015 165 4 using use VERB crl-25015 165 5 tag_0 tag_0 SPACE crl-25015 165 6 , , PUNCT crl-25015 165 7 the the DET crl-25015 165 8 tags tag NOUN crl-25015 165 9 were be AUX crl-25015 165 10 not not PART crl-25015 165 11 incorporated incorporate VERB crl-25015 165 12 into into ADP crl-25015 165 13 the the DET crl-25015 165 14 training training NOUN crl-25015 165 15 of of ADP crl-25015 165 16 document document NOUN crl-25015 165 17 - - PUNCT crl-25015 165 18 embedding embed VERB crl-25015 165 19 models model NOUN crl-25015 165 20 or or CCONJ crl-25015 165 21 in in ADP crl-25015 165 22 generating generate VERB crl-25015 165 23 individual individual ADJ crl-25015 165 24 document document NOUN crl-25015 165 25 - - PUNCT crl-25015 165 26 embeddings embedding NOUN crl-25015 165 27 . . PUNCT crl-25015 166 1 • • VERB crl-25015 166 2 dict dict INTJ crl-25015 166 3 — — PUNCT crl-25015 166 4 eliminating eliminate VERB crl-25015 166 5 infrequent infrequent ADJ crl-25015 166 6 words word NOUN crl-25015 166 7 ( ( PUNCT crl-25015 166 8 dict_f dict_f NOUN crl-25015 166 9 and and CCONJ crl-25015 166 10 dict_n dict_n NOUN crl-25015 166 11 ) ) PUNCT crl-25015 166 12 following follow VERB crl-25015 166 13 tagging tag VERB crl-25015 166 14 , , PUNCT crl-25015 166 15 the the DET crl-25015 166 16 input input NOUN crl-25015 166 17 string string NOUN crl-25015 166 18 for for ADP crl-25015 166 19 each each DET crl-25015 166 20 individual individual ADJ crl-25015 166 21 sample sample NOUN crl-25015 166 22 was be AUX crl-25015 166 23 tokenized tokenize VERB crl-25015 166 24 into into ADP crl-25015 166 25 an an DET crl-25015 166 26 array array NOUN crl-25015 166 27 . . PUNCT crl-25015 167 1 in in ADP crl-25015 167 2 each each DET crl-25015 167 3 input input NOUN crl-25015 167 4 string string NOUN crl-25015 167 5 , , PUNCT crl-25015 167 6 the the DET crl-25015 167 7 individual individual ADJ crl-25015 167 8 tokens token NOUN crl-25015 167 9 ( ( PUNCT crl-25015 167 10 that that PRON crl-25015 167 11 is be AUX crl-25015 167 12 to to PART crl-25015 167 13 say say VERB crl-25015 167 14 , , PUNCT crl-25015 167 15 “ " PUNCT crl-25015 167 16 words word NOUN crl-25015 167 17 ” " PUNCT crl-25015 167 18 ) ) PUNCT crl-25015 167 19 were be AUX crl-25015 167 20 segmented segment VERB crl-25015 167 21 by by ADP crl-25015 167 22 spaces space NOUN crl-25015 167 23 and and CCONJ crl-25015 167 24 nonalphanumeric nonalphanumeric ADJ crl-25015 167 25 characters character NOUN crl-25015 167 26 . . PUNCT crl-25015 168 1 all all DET crl-25015 168 2 tokens token NOUN crl-25015 168 3 were be AUX crl-25015 168 4 converted convert VERB crl-25015 168 5 to to PART crl-25015 168 6 lowercase lowercase VERB crl-25015 168 7 letters letter NOUN crl-25015 168 8 in in ADP crl-25015 168 9 the the DET crl-25015 168 10 process process NOUN crl-25015 168 11 . . PUNCT crl-25015 169 1 once once SCONJ crl-25015 169 2 each each DET crl-25015 169 3 input input NOUN crl-25015 169 4 string string NOUN crl-25015 169 5 was be AUX crl-25015 169 6 tokenized tokenize VERB crl-25015 169 7 , , PUNCT crl-25015 169 8 all all DET crl-25015 169 9 individual individual ADJ crl-25015 169 10 tokens token NOUN crl-25015 169 11 remained remain VERB crl-25015 169 12 in in ADP crl-25015 169 13 the the DET crl-25015 169 14 input input NOUN crl-25015 169 15 data datum NOUN crl-25015 169 16 for for ADP crl-25015 169 17 models model NOUN crl-25015 169 18 using use VERB crl-25015 169 19 dict_full dict_full NOUN crl-25015 169 20 ( ( PUNCT crl-25015 169 21 dict_f dict_f X crl-25015 169 22 ) ) PUNCT crl-25015 169 23 . . PUNCT crl-25015 170 1 for for ADP crl-25015 170 2 models model NOUN crl-25015 170 3 using use VERB crl-25015 170 4 dict_narrow dict_narrow NOUN crl-25015 170 5 ( ( PUNCT crl-25015 170 6 dict_n dict_n NOUN crl-25015 170 7 ) ) PUNCT crl-25015 170 8 , , PUNCT crl-25015 170 9 the the DET crl-25015 170 10 set set NOUN crl-25015 170 11 of of ADP crl-25015 170 12 allowed allow VERB crl-25015 170 13 tokens token NOUN crl-25015 170 14 , , PUNCT crl-25015 170 15 or or CCONJ crl-25015 170 16 dictionary dictionary PROPN crl-25015 170 17 , , PUNCT crl-25015 170 18 was be AUX crl-25015 170 19 reduced reduce VERB crl-25015 170 20 by by ADP crl-25015 170 21 eliminating eliminate VERB crl-25015 170 22 tokens token NOUN crl-25015 170 23 that that PRON crl-25015 170 24 were be AUX crl-25015 170 25 too too ADV crl-25015 170 26 short short ADJ crl-25015 170 27 or or CCONJ crl-25015 170 28 too too ADV crl-25015 170 29 infrequent infrequent ADJ crl-25015 170 30 across across ADP crl-25015 170 31 all all PRON crl-25015 170 32 of of ADP crl-25015 170 33 the the DET crl-25015 170 34 input input NOUN crl-25015 170 35 strings string NOUN crl-25015 170 36 in in ADP crl-25015 170 37 the the DET crl-25015 170 38 training training NOUN crl-25015 170 39 data datum NOUN crl-25015 170 40 . . PUNCT crl-25015 171 1 to to PART crl-25015 171 2 achieve achieve VERB crl-25015 171 3 this this PRON crl-25015 171 4 , , PUNCT crl-25015 171 5 the the DET crl-25015 171 6 following follow VERB crl-25015 171 7 filtering filter VERB crl-25015 171 8 rules rule NOUN crl-25015 171 9 were be AUX crl-25015 171 10 implemented implement VERB crl-25015 171 11 for for ADP crl-25015 171 12 models model NOUN crl-25015 171 13 using use VERB crl-25015 171 14 the the DET crl-25015 171 15 dict_n dict_n NOUN crl-25015 171 16 parameter parameter NOUN crl-25015 171 17 : : PUNCT crl-25015 171 18 □ □ PUNCT crl-25015 171 19 retain retain VERB crl-25015 171 20 only only ADV crl-25015 171 21 alphanumeric alphanumeric ADJ crl-25015 171 22 tokens token NOUN crl-25015 171 23 with with ADP crl-25015 171 24 a a DET crl-25015 171 25 minimum minimum ADJ crl-25015 171 26 length length NOUN crl-25015 171 27 of of ADP crl-25015 171 28 3 3 NUM crl-25015 171 29 characters character NOUN crl-25015 171 30 . . PUNCT crl-25015 172 1 □ □ PUNCT crl-25015 172 2 retain retain VERB crl-25015 172 3 only only ADV crl-25015 172 4 tokens token NOUN crl-25015 172 5 present present ADJ crl-25015 172 6 in in ADP crl-25015 172 7 at at ADV crl-25015 172 8 least least ADJ crl-25015 172 9 two two NUM crl-25015 172 10 transcripts transcript NOUN crl-25015 172 11 in in ADP crl-25015 172 12 the the DET crl-25015 172 13 training training NOUN crl-25015 172 14 data datum NOUN crl-25015 172 15 . . PUNCT crl-25015 173 1 □ □ PUNCT crl-25015 173 2 retain retain VERB crl-25015 173 3 only only ADV crl-25015 173 4 top top ADJ crl-25015 173 5 3,000 3,000 NUM crl-25015 173 6 tokens token NOUN crl-25015 173 7 as as SCONJ crl-25015 173 8 represented represent VERB crl-25015 173 9 by by ADP crl-25015 173 10 average average ADJ crl-25015 173 11 tf tf PROPN crl-25015 173 12 - - PUNCT crl-25015 173 13 idf idf PROPN crl-25015 173 14 scores score NOUN crl-25015 173 15 in in ADP crl-25015 173 16 the the DET crl-25015 173 17 training training NOUN crl-25015 173 18 data datum NOUN crl-25015 173 19 . . PUNCT crl-25015 174 1 for for ADP crl-25015 174 2 the the DET crl-25015 174 3 final final ADJ crl-25015 174 4 filtering filtering NOUN crl-25015 174 5 rule rule NOUN crl-25015 174 6 , , PUNCT crl-25015 174 7 tf tf PROPN crl-25015 174 8 - - PROPN crl-25015 174 9 idf idf NOUN crl-25015 174 10 ( ( PUNCT crl-25015 174 11 “ " PUNCT crl-25015 174 12 term term NOUN crl-25015 174 13 frequency frequency NOUN crl-25015 174 14 — — PUNCT crl-25015 174 15 inverse inverse ADJ crl-25015 174 16 document document NOUN crl-25015 174 17 frequency frequency NOUN crl-25015 174 18 ” " PUNCT crl-25015 174 19 ) ) PUNCT crl-25015 174 20 was be AUX crl-25015 174 21 used use VERB crl-25015 174 22 to to PART crl-25015 174 23 count count VERB crl-25015 174 24 and and CCONJ crl-25015 174 25 then then ADV crl-25015 174 26 inversely inversely ADV crl-25015 174 27 weight weight VERB crl-25015 174 28 the the DET crl-25015 174 29 count count NOUN crl-25015 174 30 - - PUNCT crl-25015 174 31 values value NOUN crl-25015 174 32 against against ADP crl-25015 174 33 the the DET crl-25015 174 34 proportion proportion NOUN crl-25015 174 35 of of ADP crl-25015 174 36 input input NOUN crl-25015 174 37 strings string NOUN crl-25015 174 38 that that PRON crl-25015 174 39 contained contain VERB crl-25015 174 40 any any DET crl-25015 174 41 given give VERB crl-25015 174 42 individual individual ADJ crl-25015 174 43 token token VERB crl-25015 174 44 . . PUNCT crl-25015 175 1 this this DET crl-25015 175 2 approach approach NOUN crl-25015 175 3 to to ADP crl-25015 175 4 assigning assign VERB crl-25015 175 5 values value NOUN crl-25015 175 6 to to ADP crl-25015 175 7 individual individual ADJ crl-25015 175 8 tokens token NOUN crl-25015 175 9 is be AUX crl-25015 175 10 widely widely ADV crl-25015 175 11 used use VERB crl-25015 175 12 for for ADP crl-25015 175 13 document document NOUN crl-25015 175 14 classification classification NOUN crl-25015 175 15 tasks task NOUN crl-25015 175 16 because because SCONJ crl-25015 175 17 it it PRON crl-25015 175 18 reduces reduce VERB crl-25015 175 19 the the DET crl-25015 175 20 value value NOUN crl-25015 175 21 of of ADP crl-25015 175 22 tokens token NOUN crl-25015 175 23 that that PRON crl-25015 175 24 are be AUX crl-25015 175 25 extremely extremely ADV crl-25015 175 26 common common ADJ crl-25015 175 27 , , PUNCT crl-25015 175 28 but but CCONJ crl-25015 175 29 unlikely unlikely ADJ crl-25015 175 30 to to PART crl-25015 175 31 carry carry VERB crl-25015 175 32 significant significant ADJ crl-25015 175 33 semantic semantic ADJ crl-25015 175 34 value value NOUN crl-25015 175 35 in in ADP crl-25015 175 36 isolation isolation NOUN crl-25015 175 37 ( ( PUNCT crl-25015 175 38 such such ADJ crl-25015 175 39 as as ADP crl-25015 175 40 “ " PUNCT crl-25015 175 41 the the PRON crl-25015 175 42 ” " PUNCT crl-25015 175 43 ) ) PUNCT crl-25015 175 44 . . PUNCT crl-25015 176 1 the the DET crl-25015 176 2 authors author NOUN crl-25015 176 3 used use VERB crl-25015 176 4 the the DET crl-25015 176 5 scikit scikit NOUN crl-25015 176 6 - - PUNCT crl-25015 176 7 learn learn NOUN crl-25015 176 8 implementation implementation NOUN crl-25015 176 9 of of ADP crl-25015 176 10 the the DET crl-25015 176 11 tf tf PROPN crl-25015 176 12 - - PUNCT crl-25015 176 13 idf idf NOUN crl-25015 176 14 method.29 method.29 NOUN crl-25015 176 15 the the DET crl-25015 176 16 following follow VERB crl-25015 176 17 examples example NOUN crl-25015 176 18 illustrate illustrate VERB crl-25015 176 19 how how SCONJ crl-25015 176 20 this this DET crl-25015 176 21 process process NOUN crl-25015 176 22 transformed transform VERB crl-25015 176 23 each each DET crl-25015 176 24 individual individual ADJ crl-25015 176 25 input input NOUN crl-25015 176 26 string string NOUN crl-25015 176 27 into into ADP crl-25015 176 28 a a DET crl-25015 176 29 tokenized tokenize VERB crl-25015 176 30 array array NOUN crl-25015 176 31 as as ADP crl-25015 176 32 appropriate appropriate ADJ crl-25015 176 33 for for ADP crl-25015 176 34 both both PRON crl-25015 176 35 dict_f dict_f NOUN crl-25015 176 36 and and CCONJ crl-25015 176 37 dict_n dict_n NOUN crl-25015 176 38 models model NOUN crl-25015 176 39 : : PUNCT crl-25015 176 40 □ □ PUNCT crl-25015 176 41 trunc_10 trunc_10 NOUN crl-25015 176 42 input input NOUN crl-25015 176 43 string string NOUN crl-25015 176 44 : : PUNCT crl-25015 176 45 “ " PUNCT crl-25015 176 46 i i PRON crl-25015 176 47 ’m ’m AUX crl-25015 176 48 looking look VERB crl-25015 176 49 for for ADP crl-25015 176 50 a a DET crl-25015 176 51 19th 19th ADJ crl-25015 176 52 century century NOUN crl-25015 176 53 article article NOUN crl-25015 176 54 about about ADP crl-25015 176 55 women woman NOUN crl-25015 176 56 fashion fashion NOUN crl-25015 176 57 ” " PUNCT crl-25015 176 58 □ □ PUNCT crl-25015 176 59 dict_f dict_f X crl-25015 176 60 tokenized tokenize VERB crl-25015 176 61 array array NOUN crl-25015 176 62 : : PUNCT crl-25015 176 63 [ [ PUNCT crl-25015 176 64 i i PRON crl-25015 176 65 , , PUNCT crl-25015 176 66 m m PROPN crl-25015 176 67 , , PUNCT crl-25015 176 68 looking look VERB crl-25015 176 69 , , PUNCT crl-25015 176 70 for for ADP crl-25015 176 71 , , PUNCT crl-25015 176 72 a a DET crl-25015 176 73 , , PUNCT crl-25015 176 74 19th 19th ADJ crl-25015 176 75 , , PUNCT crl-25015 176 76 century century NOUN crl-25015 176 77 , , PUNCT crl-25015 176 78 article article NOUN crl-25015 176 79 , , PUNCT crl-25015 176 80 about about ADV crl-25015 176 81 , , PUNCT crl-25015 176 82 women woman NOUN crl-25015 176 83 , , PUNCT crl-25015 176 84 fashion fashion NOUN crl-25015 176 85 ] ] PUNCT crl-25015 176 86 □ □ PUNCT crl-25015 176 87 dict_n dict_n NOUN crl-25015 176 88 tokenized tokenize VERB crl-25015 176 89 array array NOUN crl-25015 176 90 : : PUNCT crl-25015 176 91 [ [ PUNCT crl-25015 176 92 looking look VERB crl-25015 176 93 , , PUNCT crl-25015 176 94 19th 19th ADJ crl-25015 176 95 , , PUNCT crl-25015 176 96 century century NOUN crl-25015 176 97 , , PUNCT crl-25015 176 98 article article NOUN crl-25015 176 99 , , PUNCT crl-25015 176 100 about about ADV crl-25015 176 101 , , PUNCT crl-25015 176 102 women woman NOUN crl-25015 176 103 , , PUNCT crl-25015 176 104 fashion fashion NOUN crl-25015 176 105 ] ] PUNCT crl-25015 176 106 table table NOUN crl-25015 176 107 2 2 NUM crl-25015 176 108 tag tag NOUN crl-25015 176 109 examples example NOUN crl-25015 176 110 tag tag NOUN crl-25015 176 111 pattern pattern NOUN crl-25015 176 112 definition definition NOUN crl-25015 176 113 tagprinting tagprinte VERB crl-25015 176 114 print print NOUN crl-25015 176 115 in in ADP crl-25015 176 116 color color NOUN crl-25015 176 117 interactions interaction NOUN crl-25015 176 118 relating relate VERB crl-25015 176 119 to to ADP crl-25015 176 120 using use VERB crl-25015 176 121 library library NOUN crl-25015 176 122 printers printer NOUN crl-25015 176 123 and and CCONJ crl-25015 176 124 printing printing NOUN crl-25015 176 125 services.cat services.cat NOUN crl-25015 176 126 cash cash NOUN crl-25015 176 127 tagquiet tagquiet NOUN crl-25015 176 128 quiet quiet PROPN crl-25015 176 129 zone zone NOUN crl-25015 176 130 interactions interaction NOUN crl-25015 176 131 in in ADP crl-25015 176 132 which which PRON crl-25015 176 133 the the DET crl-25015 176 134 user user NOUN crl-25015 176 135 mentions mention VERB crl-25015 176 136 excessive excessive ADJ crl-25015 176 137 noise noise NOUN crl-25015 176 138 or or CCONJ crl-25015 176 139 inquires inquire VERB crl-25015 176 140 about about ADP crl-25015 176 141 quiet quiet ADJ crl-25015 176 142 places place NOUN crl-25015 176 143 in in ADP crl-25015 176 144 the the DET crl-25015 176 145 library.floor library.floor NOUN crl-25015 176 146 to to PART crl-25015 176 147 be be AUX crl-25015 176 148 quiet quiet ADJ crl-25015 176 149 tagknownitembook tagknownitembook NOUN crl-25015 176 150 a a DET crl-25015 176 151 - - PUNCT crl-25015 176 152 z{12}\d{24}\s{01}\.a z{12}\d{24}\s{01}\.a NOUN crl-25015 176 153 - - PUNCT crl-25015 176 154 z\d{1 z\d{1 NUM crl-25015 176 155 } } PUNCT crl-25015 176 156 interactions interaction NOUN crl-25015 176 157 in in ADP crl-25015 176 158 which which PRON crl-25015 176 159 a a DET crl-25015 176 160 user user NOUN crl-25015 176 161 identifies identify VERB crl-25015 176 162 a a DET crl-25015 176 163 specific specific ADJ crl-25015 176 164 , , PUNCT crl-25015 176 165 individual individual ADJ crl-25015 176 166 book book NOUN crl-25015 176 167 by by ADP crl-25015 176 168 name name NOUN crl-25015 176 169 or or CCONJ crl-25015 176 170 call call VERB crl-25015 176 171 number.this number.this PRON crl-25015 176 172 book book NOUN crl-25015 176 173 692 692 NUM crl-25015 176 174 college college PROPN crl-25015 176 175 & & CCONJ crl-25015 176 176 research research PROPN crl-25015 176 177 libraries library NOUN crl-25015 176 178 july july PROPN crl-25015 176 179 2021 2021 NUM crl-25015 176 180 • • NUM crl-25015 176 181 d2v d2v NOUN crl-25015 176 182 — — PUNCT crl-25015 176 183 document document NOUN crl-25015 176 184 embeddings embedding NOUN crl-25015 176 185 ( ( PUNCT crl-25015 176 186 d2v_75 d2v_75 NOUN crl-25015 176 187 and and CCONJ crl-25015 176 188 d2v_150 d2v_150 PROPN crl-25015 176 189 ) ) PUNCT crl-25015 176 190 once once SCONJ crl-25015 176 191 the the DET crl-25015 176 192 tokenized tokenize VERB crl-25015 176 193 array array NOUN crl-25015 176 194 for for ADP crl-25015 176 195 each each DET crl-25015 176 196 individual individual ADJ crl-25015 176 197 transcript transcript NOUN crl-25015 176 198 was be AUX crl-25015 176 199 set set VERB crl-25015 176 200 , , PUNCT crl-25015 176 201 a a DET crl-25015 176 202 document document NOUN crl-25015 176 203 - - PUNCT crl-25015 176 204 embedding embed VERB crl-25015 176 205 model model NOUN crl-25015 176 206 was be AUX crl-25015 176 207 trained train VERB crl-25015 176 208 using use VERB crl-25015 176 209 the the DET crl-25015 176 210 training training NOUN crl-25015 176 211 - - PUNCT crl-25015 176 212 data datum NOUN crl-25015 176 213 and and CCONJ crl-25015 176 214 the the DET crl-25015 176 215 gensim gensim NOUN crl-25015 176 216 implementation implementation NOUN crl-25015 176 217 of of ADP crl-25015 176 218 the the DET crl-25015 176 219 doc2vec doc2vec ADJ crl-25015 176 220 “ " PUNCT crl-25015 176 221 pv pv NOUN crl-25015 176 222 - - PUNCT crl-25015 176 223 dbow dbow NOUN crl-25015 176 224 ” " PUNCT crl-25015 176 225 algorithm.30 algorithm.30 NOUN crl-25015 176 226 the the DET crl-25015 176 227 core core NOUN crl-25015 176 228 outcome outcome NOUN crl-25015 176 229 of of ADP crl-25015 176 230 a a DET crl-25015 176 231 doc2vec doc2vec ADJ crl-25015 176 232 algorithm algorithm NOUN crl-25015 176 233 and and CCONJ crl-25015 176 234 model model NOUN crl-25015 176 235 is be AUX crl-25015 176 236 to to PART crl-25015 176 237 transform transform VERB crl-25015 176 238 tokenized tokenize VERB crl-25015 176 239 arrays array NOUN crl-25015 176 240 of of ADP crl-25015 176 241 input input NOUN crl-25015 176 242 strings string NOUN crl-25015 176 243 into into ADP crl-25015 176 244 fixed fix VERB crl-25015 176 245 - - PUNCT crl-25015 176 246 length length NOUN crl-25015 176 247 numeric numeric ADJ crl-25015 176 248 representations representation NOUN crl-25015 176 249 of of ADP crl-25015 176 250 the the DET crl-25015 176 251 data datum NOUN crl-25015 176 252 in in ADP crl-25015 176 253 numeric numeric ADJ crl-25015 176 254 form form NOUN crl-25015 176 255 . . PUNCT crl-25015 177 1 the the DET crl-25015 177 2 algorithm algorithm PROPN crl-25015 177 3 achieves achieve VERB crl-25015 177 4 this this PRON crl-25015 177 5 by by ADP crl-25015 177 6 assigning assign VERB crl-25015 177 7 a a DET crl-25015 177 8 vector vector NOUN crl-25015 177 9 of of ADP crl-25015 177 10 values value NOUN crl-25015 177 11 to to ADP crl-25015 177 12 each each DET crl-25015 177 13 individual individual ADJ crl-25015 177 14 sample sample NOUN crl-25015 177 15 and and CCONJ crl-25015 177 16 then then ADV crl-25015 177 17 updating update VERB crl-25015 177 18 those those DET crl-25015 177 19 values value NOUN crl-25015 177 20 iteratively iteratively ADV crl-25015 177 21 until until SCONJ crl-25015 177 22 samples sample NOUN crl-25015 177 23 that that PRON crl-25015 177 24 contain contain VERB crl-25015 177 25 similar similar ADJ crl-25015 177 26 tokens token NOUN crl-25015 177 27 will will AUX crl-25015 177 28 have have VERB crl-25015 177 29 similar similar ADJ crl-25015 177 30 vector vector NOUN crl-25015 177 31 representations.31 representations.31 NOUN crl-25015 177 32 at at ADP crl-25015 177 33 this this DET crl-25015 177 34 stage stage NOUN crl-25015 177 35 in in ADP crl-25015 177 36 the the DET crl-25015 177 37 modeling modeling NOUN crl-25015 177 38 process process NOUN crl-25015 177 39 , , PUNCT crl-25015 177 40 the the DET crl-25015 177 41 variable variable ADJ crl-25015 177 42 modeling modeling NOUN crl-25015 177 43 parameter parameter NOUN crl-25015 177 44 was be AUX crl-25015 177 45 determining determine VERB crl-25015 177 46 the the DET crl-25015 177 47 length length NOUN crl-25015 177 48 of of ADP crl-25015 177 49 the the DET crl-25015 177 50 vectors vector NOUN crl-25015 177 51 that that PRON crl-25015 177 52 were be AUX crl-25015 177 53 used use VERB crl-25015 177 54 to to PART crl-25015 177 55 represent represent VERB crl-25015 177 56 the the DET crl-25015 177 57 data datum NOUN crl-25015 177 58 . . PUNCT crl-25015 178 1 the the DET crl-25015 178 2 authors author NOUN crl-25015 178 3 chose choose VERB crl-25015 178 4 to to PART crl-25015 178 5 experiment experiment VERB crl-25015 178 6 with with ADP crl-25015 178 7 two two NUM crl-25015 178 8 different different ADJ crl-25015 178 9 vector vector NOUN crl-25015 178 10 sizes size NOUN crl-25015 178 11 : : PUNCT crl-25015 178 12 75 75 NUM crl-25015 178 13 and and CCONJ crl-25015 178 14 150 150 NUM crl-25015 178 15 . . PUNCT crl-25015 179 1 for for ADP crl-25015 179 2 any any DET crl-25015 179 3 given give VERB crl-25015 179 4 sample sample NOUN crl-25015 179 5 , , PUNCT crl-25015 179 6 the the DET crl-25015 179 7 transformation transformation NOUN crl-25015 179 8 of of ADP crl-25015 179 9 the the DET crl-25015 179 10 tokenized tokenize VERB crl-25015 179 11 array array NOUN crl-25015 179 12 may may AUX crl-25015 179 13 look look VERB crl-25015 179 14 like like ADP crl-25015 179 15 the the DET crl-25015 179 16 following follow VERB crl-25015 179 17 example example NOUN crl-25015 179 18 : : PUNCT crl-25015 179 19 □ □ PUNCT crl-25015 179 20 dict_n dict_n NOUN crl-25015 179 21 tokenized tokenize VERB crl-25015 179 22 array array NOUN crl-25015 179 23 : : PUNCT crl-25015 179 24 [ [ PUNCT crl-25015 179 25 looking look VERB crl-25015 179 26 , , PUNCT crl-25015 179 27 19th 19th ADJ crl-25015 179 28 , , PUNCT crl-25015 179 29 century century NOUN crl-25015 179 30 , , PUNCT crl-25015 179 31 article article NOUN crl-25015 179 32 , , PUNCT crl-25015 179 33 about about ADV crl-25015 179 34 , , PUNCT crl-25015 179 35 women woman NOUN crl-25015 179 36 , , PUNCT crl-25015 179 37 fashion fashion NOUN crl-25015 179 38 ] ] PUNCT crl-25015 179 39 □ □ PUNCT crl-25015 179 40 d2v_75 d2v_75 NOUN crl-25015 179 41 document document NOUN crl-25015 179 42 embedding embed VERB crl-25015 179 43 : : PUNCT crl-25015 179 44 □ □ PUNCT crl-25015 179 45 d2v_150 d2v_150 NOUN crl-25015 179 46 document document NOUN crl-25015 179 47 embedding embed VERB crl-25015 179 48 : : PUNCT crl-25015 179 49 an an DET crl-25015 179 50 added add VERB crl-25015 179 51 perk perk NOUN crl-25015 179 52 of of ADP crl-25015 179 53 using use VERB crl-25015 179 54 the the DET crl-25015 179 55 gensim gensim NOUN crl-25015 179 56 implementation implementation NOUN crl-25015 179 57 of of ADP crl-25015 179 58 doc2vec doc2vec PROPN crl-25015 179 59 is be AUX crl-25015 179 60 it it PRON crl-25015 179 61 allows allow VERB crl-25015 179 62 for for SCONJ crl-25015 179 63 the the DET crl-25015 179 64 individual individual ADJ crl-25015 179 65 document document NOUN crl-25015 179 66 - - PUNCT crl-25015 179 67 embeddings embedding NOUN crl-25015 179 68 to to PART crl-25015 179 69 be be AUX crl-25015 179 70 trained train VERB crl-25015 179 71 alongside alongside ADP crl-25015 179 72 labels label NOUN crl-25015 179 73 and and CCONJ crl-25015 179 74 tags tag NOUN crl-25015 179 75 . . PUNCT crl-25015 180 1 consequently consequently ADV crl-25015 180 2 , , PUNCT crl-25015 180 3 as as SCONJ crl-25015 180 4 established establish VERB crl-25015 180 5 in in ADP crl-25015 180 6 prior prior ADJ crl-25015 180 7 work work NOUN crl-25015 180 8 , , PUNCT crl-25015 180 9 for for ADP crl-25015 180 10 model model NOUN crl-25015 180 11 formulations formulation NOUN crl-25015 180 12 using use VERB crl-25015 180 13 tag_1 tag_1 PRON crl-25015 180 14 , , PUNCT crl-25015 180 15 the the DET crl-25015 180 16 document document NOUN crl-25015 180 17 embeddings embedding NOUN crl-25015 180 18 for for ADP crl-25015 180 19 individual individual ADJ crl-25015 180 20 samples sample NOUN crl-25015 180 21 that that PRON crl-25015 180 22 shared share VERB crl-25015 180 23 the the DET crl-25015 180 24 same same ADJ crl-25015 180 25 tags tag NOUN crl-25015 180 26 would would AUX crl-25015 180 27 be be AUX crl-25015 180 28 more more ADV crl-25015 180 29 closely closely ADV crl-25015 180 30 aligned align VERB crl-25015 180 31 with with ADP crl-25015 180 32 each each DET crl-25015 180 33 other other ADJ crl-25015 180 34 than than ADP crl-25015 180 35 with with ADP crl-25015 180 36 other other ADJ crl-25015 180 37 samples sample NOUN crl-25015 180 38 in in ADP crl-25015 180 39 the the DET crl-25015 180 40 data.32 data.32 ADJ crl-25015 180 41 • • VERB crl-25015 180 42 read read VERB crl-25015 180 43 — — PUNCT crl-25015 180 44 dependent dependent ADJ crl-25015 180 45 variable variable NOUN crl-25015 180 46 ( ( PUNCT crl-25015 180 47 read_1v2 read_1v2 ADV crl-25015 180 48 and and CCONJ crl-25015 180 49 read_2v3 read_2v3 NOUN crl-25015 180 50 ) ) PUNCT crl-25015 180 51 finally finally ADV crl-25015 180 52 , , PUNCT crl-25015 180 53 the the DET crl-25015 180 54 dependent dependent ADJ crl-25015 180 55 variable variable NOUN crl-25015 180 56 for for ADP crl-25015 180 57 the the DET crl-25015 180 58 entire entire ADJ crl-25015 180 59 modeling modeling NOUN crl-25015 180 60 process process NOUN crl-25015 180 61 was be AUX crl-25015 180 62 defined define VERB crl-25015 180 63 using use VERB crl-25015 180 64 read read NOUN crl-25015 180 65 scale scale NOUN crl-25015 180 66 ratings rating NOUN crl-25015 180 67 accompanying accompany VERB crl-25015 180 68 most most ADV crl-25015 180 69 , , PUNCT crl-25015 180 70 but but CCONJ crl-25015 180 71 not not PART crl-25015 180 72 all all PRON crl-25015 180 73 , , PUNCT crl-25015 180 74 of of ADP crl-25015 180 75 the the DET crl-25015 180 76 vrs vrs NOUN crl-25015 180 77 transcripts transcript NOUN crl-25015 180 78 in in ADP crl-25015 180 79 the the DET crl-25015 180 80 dataset dataset NOUN crl-25015 180 81 . . PUNCT crl-25015 181 1 rather rather ADV crl-25015 181 2 than than ADP crl-25015 181 3 trying try VERB crl-25015 181 4 to to PART crl-25015 181 5 implement implement VERB crl-25015 181 6 an an DET crl-25015 181 7 ordinal ordinal ADJ crl-25015 181 8 statistical statistical ADJ crl-25015 181 9 model model NOUN crl-25015 181 10 , , PUNCT crl-25015 181 11 the the DET crl-25015 181 12 authors author NOUN crl-25015 181 13 decided decide VERB crl-25015 181 14 to to PART crl-25015 181 15 collapse collapse VERB crl-25015 181 16 the the DET crl-25015 181 17 read read NOUN crl-25015 181 18 values value NOUN crl-25015 181 19 into into ADP crl-25015 181 20 binary binary ADJ crl-25015 181 21 indicators indicator NOUN crl-25015 181 22 using use VERB crl-25015 181 23 two two NUM crl-25015 181 24 different different ADJ crl-25015 181 25 cutoffs cutoff NOUN crl-25015 181 26 . . PUNCT crl-25015 182 1 for for ADP crl-25015 182 2 read_1v2 read_1v2 PROPN crl-25015 182 3 , , PUNCT crl-25015 182 4 the the DET crl-25015 182 5 original original ADJ crl-25015 182 6 read read NOUN crl-25015 182 7 values value NOUN crl-25015 182 8 were be AUX crl-25015 182 9 segmented segment VERB crl-25015 182 10 between between ADP crl-25015 182 11 read read NOUN crl-25015 182 12 scale scale NOUN crl-25015 182 13 ratings rating NOUN crl-25015 182 14 1 1 NUM crl-25015 182 15 and and CCONJ crl-25015 182 16 2 2 NUM crl-25015 182 17 . . PUNCT crl-25015 182 18 for for ADP crl-25015 182 19 read_2v3 read_2v3 PROPN crl-25015 182 20 , , PUNCT crl-25015 182 21 the the DET crl-25015 182 22 values value NOUN crl-25015 182 23 were be AUX crl-25015 182 24 segmented segment VERB crl-25015 182 25 between between ADP crl-25015 182 26 read read NOUN crl-25015 182 27 scale scale NOUN crl-25015 182 28 ratings rating NOUN crl-25015 182 29 of of ADP crl-25015 182 30 2 2 NUM crl-25015 182 31 and and CCONJ crl-25015 182 32 3 3 NUM crl-25015 182 33 . . NUM crl-25015 183 1 subjectively subjectively ADV crl-25015 183 2 , , PUNCT crl-25015 183 3 these these DET crl-25015 183 4 splits split NOUN crl-25015 183 5 transformed transform VERB crl-25015 183 6 the the DET crl-25015 183 7 original original ADJ crl-25015 183 8 read read NOUN crl-25015 183 9 scale scale NOUN crl-25015 183 10 values value NOUN crl-25015 183 11 into into ADP crl-25015 183 12 two two NUM crl-25015 183 13 broad broad ADJ crl-25015 183 14 categories category NOUN crl-25015 183 15 : : PUNCT crl-25015 183 16 “ " PUNCT crl-25015 183 17 easier easy ADJ crl-25015 183 18 ” " PUNCT crl-25015 183 19 ( ( PUNCT crl-25015 183 20 0 0 NUM crl-25015 183 21 ) ) PUNCT crl-25015 183 22 and and CCONJ crl-25015 183 23 “ " PUNCT crl-25015 183 24 harder hard ADJ crl-25015 183 25 ” " PUNCT crl-25015 183 26 ( ( PUNCT crl-25015 183 27 1 1 NUM crl-25015 183 28 ) ) PUNCT crl-25015 183 29 ( ( PUNCT crl-25015 183 30 see see VERB crl-25015 183 31 table table NOUN crl-25015 183 32 3 3 NUM crl-25015 183 33 ) ) PUNCT crl-25015 183 34 . . PUNCT crl-25015 184 1 using use VERB crl-25015 184 2 a a DET crl-25015 184 3 simple simple ADJ crl-25015 184 4 neural neural ADJ crl-25015 184 5 network network NOUN crl-25015 184 6 classifier classifier NOUN crl-25015 184 7 as as SCONJ crl-25015 184 8 implemented implement VERB crl-25015 184 9 in in ADP crl-25015 184 10 the the DET crl-25015 184 11 scikit scikit NOUN crl-25015 184 12 - - PUNCT crl-25015 184 13 learn learn VERB crl-25015 184 14 package,33 package,33 NOUN crl-25015 184 15 the the DET crl-25015 184 16 document document NOUN crl-25015 184 17 - - PUNCT crl-25015 184 18 embeddings embedding NOUN crl-25015 184 19 for for ADP crl-25015 184 20 the the DET crl-25015 184 21 training training NOUN crl-25015 184 22 data datum NOUN crl-25015 184 23 were be AUX crl-25015 184 24 used use VERB crl-25015 184 25 to to PART crl-25015 184 26 train train VERB crl-25015 184 27 and and CCONJ crl-25015 184 28 fit fit VERB crl-25015 184 29 a a DET crl-25015 184 30 binary binary ADJ crl-25015 184 31 classification classification NOUN crl-25015 184 32 model model NOUN crl-25015 184 33 using use VERB crl-25015 184 34 the the DET crl-25015 184 35 transformed transform VERB crl-25015 184 36 read read NOUN crl-25015 184 37 values value NOUN crl-25015 184 38 as as ADP crl-25015 184 39 the the DET crl-25015 184 40 dependent dependent ADJ crl-25015 184 41 variable variable NOUN crl-25015 184 42 . . PUNCT crl-25015 185 1 finally finally ADV crl-25015 185 2 , , PUNCT crl-25015 185 3 both both CCONJ crl-25015 185 4 the the DET crl-25015 185 5 training training NOUN crl-25015 185 6 data datum NOUN crl-25015 185 7 and and CCONJ crl-25015 185 8 test test NOUN crl-25015 185 9 data datum NOUN crl-25015 185 10 were be AUX crl-25015 185 11 processed process VERB crl-25015 185 12 through through ADP crl-25015 185 13 the the DET crl-25015 185 14 fully fully ADV crl-25015 185 15 fitted fit VERB crl-25015 185 16 classifier classifier NOUN crl-25015 185 17 to to PART crl-25015 185 18 generate generate VERB crl-25015 185 19 predictions prediction NOUN crl-25015 185 20 for for ADP crl-25015 185 21 each each DET crl-25015 185 22 individual individual ADJ crl-25015 185 23 sample sample NOUN crl-25015 185 24 in in ADP crl-25015 185 25 both both DET crl-25015 185 26 subsets subset NOUN crl-25015 185 27 . . PUNCT crl-25015 186 1 the the DET crl-25015 186 2 final final ADJ crl-25015 186 3 predictions prediction NOUN crl-25015 186 4 for for ADP crl-25015 186 5 each each DET crl-25015 186 6 sample sample NOUN crl-25015 186 7 were be AUX crl-25015 186 8 represented represent VERB crl-25015 186 9 by by ADP crl-25015 186 10 probabilities probability NOUN crl-25015 186 11 ranging range VERB crl-25015 186 12 between between ADP crl-25015 186 13 0.0 0.0 NUM crl-25015 186 14 and and CCONJ crl-25015 186 15 1.0 1.0 NUM crl-25015 186 16 . . PROPN crl-25015 186 17 table table NOUN crl-25015 186 18 3 3 NUM crl-25015 186 19 read read NOUN crl-25015 186 20 scale scale NOUN crl-25015 186 21 transformations transformation NOUN crl-25015 186 22 read read VERB crl-25015 186 23 scale scale NOUN crl-25015 186 24 1 1 NUM crl-25015 186 25 2 2 NUM crl-25015 186 26 3 3 NUM crl-25015 186 27 4 4 NUM crl-25015 186 28 5 5 NUM crl-25015 186 29 6 6 NUM crl-25015 186 30 read_1v2 read_1v2 NUM crl-25015 186 31 0 0 NUM crl-25015 186 32 1 1 NUM crl-25015 186 33 read_2v3 read_2v3 NOUN crl-25015 186 34 0 0 NUM crl-25015 186 35 1 1 NUM crl-25015 186 36 using use VERB crl-25015 186 37 machine machine NOUN crl-25015 186 38 learning learning NOUN crl-25015 186 39 to to PART crl-25015 186 40 predict predict VERB crl-25015 186 41 chat chat VERB crl-25015 186 42 difficulty difficulty NOUN crl-25015 186 43 693 693 NUM crl-25015 186 44 model model NOUN crl-25015 186 45 — — PUNCT crl-25015 186 46 evaluation evaluation NOUN crl-25015 186 47 following follow VERB crl-25015 186 48 the the DET crl-25015 186 49 full full ADJ crl-25015 186 50 processing processing NOUN crl-25015 186 51 of of ADP crl-25015 186 52 samples sample NOUN crl-25015 186 53 in in ADP crl-25015 186 54 both both CCONJ crl-25015 186 55 the the DET crl-25015 186 56 training training NOUN crl-25015 186 57 data datum NOUN crl-25015 186 58 and and CCONJ crl-25015 186 59 test test NOUN crl-25015 186 60 data datum NOUN crl-25015 186 61 , , PUNCT crl-25015 186 62 the the DET crl-25015 186 63 overall overall ADJ crl-25015 186 64 performance performance NOUN crl-25015 186 65 of of ADP crl-25015 186 66 each each DET crl-25015 186 67 model model NOUN crl-25015 186 68 formulation formulation NOUN crl-25015 186 69 was be AUX crl-25015 186 70 evaluated evaluate VERB crl-25015 186 71 using use VERB crl-25015 186 72 the the DET crl-25015 186 73 receiver receiver NOUN crl-25015 186 74 operating operating NOUN crl-25015 186 75 characteristics characteristic NOUN crl-25015 186 76 ( ( PUNCT crl-25015 186 77 roc roc PROPN crl-25015 186 78 ) ) PUNCT crl-25015 186 79 area area NOUN crl-25015 186 80 under under ADP crl-25015 186 81 the the DET crl-25015 186 82 curve curve NOUN crl-25015 186 83 ( ( PUNCT crl-25015 186 84 auc auc NOUN crl-25015 186 85 ) ) PUNCT crl-25015 186 86 scores score NOUN crl-25015 186 87 . . PUNCT crl-25015 187 1 when when SCONJ crl-25015 187 2 using use VERB crl-25015 187 3 a a DET crl-25015 187 4 set set NOUN crl-25015 187 5 of of ADP crl-25015 187 6 predicted predict VERB crl-25015 187 7 probabilities probability NOUN crl-25015 187 8 , , PUNCT crl-25015 187 9 such such ADJ crl-25015 187 10 as as ADP crl-25015 187 11 those those PRON crl-25015 187 12 generated generate VERB crl-25015 187 13 by by ADP crl-25015 187 14 the the DET crl-25015 187 15 described describe VERB crl-25015 187 16 models model NOUN crl-25015 187 17 , , PUNCT crl-25015 187 18 the the DET crl-25015 187 19 roc roc PROPN crl-25015 187 20 curve curve NOUN crl-25015 187 21 represents represent VERB crl-25015 187 22 the the DET crl-25015 187 23 change change NOUN crl-25015 187 24 in in ADP crl-25015 187 25 the the DET crl-25015 187 26 falsepositive falsepositive ADJ crl-25015 187 27 and and CCONJ crl-25015 187 28 true true ADJ crl-25015 187 29 - - PUNCT crl-25015 187 30 positive positive ADJ crl-25015 187 31 classification classification NOUN crl-25015 187 32 rates rate NOUN crl-25015 187 33 as as ADP crl-25015 187 34 the the DET crl-25015 187 35 decision decision NOUN crl-25015 187 36 threshold threshold NOUN crl-25015 187 37 used use VERB crl-25015 187 38 for for ADP crl-25015 187 39 determining determine VERB crl-25015 187 40 which which DET crl-25015 187 41 probabilities probability NOUN crl-25015 187 42 are be AUX crl-25015 187 43 rounded round VERB crl-25015 187 44 down down ADP crl-25015 187 45 to to ADP crl-25015 187 46 zero zero NUM crl-25015 187 47 ( ( PUNCT crl-25015 187 48 0 0 NUM crl-25015 187 49 ) ) PUNCT crl-25015 187 50 or or CCONJ crl-25015 187 51 up up ADP crl-25015 187 52 to to ADP crl-25015 187 53 one one NUM crl-25015 187 54 ( ( PUNCT crl-25015 187 55 1 1 NUM crl-25015 187 56 ) ) PUNCT crl-25015 187 57 is be AUX crl-25015 187 58 varied varied ADJ crl-25015 187 59 . . PUNCT crl-25015 188 1 when when SCONJ crl-25015 188 2 measuring measure VERB crl-25015 188 3 the the DET crl-25015 188 4 area area NOUN crl-25015 188 5 under under ADP crl-25015 188 6 the the DET crl-25015 188 7 roc roc PROPN crl-25015 188 8 curve curve NOUN crl-25015 188 9 ( ( PUNCT crl-25015 188 10 auc auc NOUN crl-25015 188 11 ) ) PUNCT crl-25015 188 12 , , PUNCT crl-25015 188 13 auc auc NOUN crl-25015 188 14 scores score NOUN crl-25015 188 15 can can AUX crl-25015 188 16 range range VERB crl-25015 188 17 from from ADP crl-25015 188 18 0.0 0.0 NUM crl-25015 188 19 to to ADP crl-25015 188 20 1.0 1.0 NUM crl-25015 188 21 and and CCONJ crl-25015 188 22 in in ADP crl-25015 188 23 effect effect NOUN crl-25015 188 24 represent represent VERB crl-25015 188 25 the the DET crl-25015 188 26 overall overall ADJ crl-25015 188 27 discriminatory discriminatory ADJ crl-25015 188 28 power power NOUN crl-25015 188 29 of of ADP crl-25015 188 30 a a DET crl-25015 188 31 model model NOUN crl-25015 188 32 . . PUNCT crl-25015 189 1 for for ADP crl-25015 189 2 a a DET crl-25015 189 3 binary binary ADJ crl-25015 189 4 classification classification NOUN crl-25015 189 5 task task NOUN crl-25015 189 6 , , PUNCT crl-25015 189 7 auc auc NOUN crl-25015 189 8 scores score NOUN crl-25015 189 9 of of ADP crl-25015 189 10 1.0 1.0 NUM crl-25015 189 11 indicate indicate VERB crl-25015 189 12 that that SCONJ crl-25015 189 13 the the DET crl-25015 189 14 model model NOUN crl-25015 189 15 is be AUX crl-25015 189 16 able able ADJ crl-25015 189 17 to to PART crl-25015 189 18 perfectly perfectly ADV crl-25015 189 19 discriminate discriminate VERB crl-25015 189 20 between between ADP crl-25015 189 21 the the DET crl-25015 189 22 two two NUM crl-25015 189 23 classes class NOUN crl-25015 189 24 ( ( PUNCT crl-25015 189 25 that that PRON crl-25015 189 26 is be AUX crl-25015 189 27 to to PART crl-25015 189 28 say say VERB crl-25015 189 29 , , PUNCT crl-25015 189 30 “ " PUNCT crl-25015 189 31 easier easy ADJ crl-25015 189 32 ” " PUNCT crl-25015 189 33 vs vs ADP crl-25015 189 34 “ " PUNCT crl-25015 189 35 harder hard ADJ crl-25015 189 36 ” " PUNCT crl-25015 189 37 ) ) PUNCT crl-25015 189 38 , , PUNCT crl-25015 189 39 for for ADP crl-25015 189 40 all all DET crl-25015 189 41 possible possible ADJ crl-25015 189 42 decision decision NOUN crl-25015 189 43 thresholds threshold NOUN crl-25015 189 44 . . PUNCT crl-25015 190 1 an an DET crl-25015 190 2 auc auc NOUN crl-25015 190 3 score score NOUN crl-25015 190 4 of of ADP crl-25015 190 5 0.5 0.5 NUM crl-25015 190 6 would would AUX crl-25015 190 7 indicate indicate VERB crl-25015 190 8 that that SCONJ crl-25015 190 9 the the DET crl-25015 190 10 model model NOUN crl-25015 190 11 ’s ’s PART crl-25015 190 12 capacity capacity NOUN crl-25015 190 13 to to PART crl-25015 190 14 discriminate discriminate VERB crl-25015 190 15 between between ADP crl-25015 190 16 two two NUM crl-25015 190 17 classes class NOUN crl-25015 190 18 is be AUX crl-25015 190 19 no no ADV crl-25015 190 20 better well ADJ crl-25015 190 21 than than SCONJ crl-25015 190 22 randomly randomly ADV crl-25015 190 23 guessing guess VERB crl-25015 190 24 . . PUNCT crl-25015 191 1 by by ADP crl-25015 191 2 using use VERB crl-25015 191 3 auc auc NOUN crl-25015 191 4 scores score NOUN crl-25015 191 5 to to PART crl-25015 191 6 evaluate evaluate VERB crl-25015 191 7 each each DET crl-25015 191 8 individual individual ADJ crl-25015 191 9 model model NOUN crl-25015 191 10 ’s ’s PART crl-25015 191 11 performance performance NOUN crl-25015 191 12 with with ADP crl-25015 191 13 respect respect NOUN crl-25015 191 14 to to ADP crl-25015 191 15 both both CCONJ crl-25015 191 16 the the DET crl-25015 191 17 testing testing NOUN crl-25015 191 18 data datum NOUN crl-25015 191 19 and and CCONJ crl-25015 191 20 training training NOUN crl-25015 191 21 data datum NOUN crl-25015 191 22 , , PUNCT crl-25015 191 23 the the DET crl-25015 191 24 authors author NOUN crl-25015 191 25 were be AUX crl-25015 191 26 able able ADJ crl-25015 191 27 to to PART crl-25015 191 28 inspect inspect VERB crl-25015 191 29 and and CCONJ crl-25015 191 30 evaluate evaluate VERB crl-25015 191 31 the the DET crl-25015 191 32 auc auc NOUN crl-25015 191 33 scores score NOUN crl-25015 191 34 in in ADP crl-25015 191 35 aggregate aggregate NOUN crl-25015 191 36 and and CCONJ crl-25015 191 37 as as ADP crl-25015 191 38 distributions distribution NOUN crl-25015 191 39 . . PUNCT crl-25015 192 1 additionally additionally ADV crl-25015 192 2 , , PUNCT crl-25015 192 3 simple simple ADJ crl-25015 192 4 right right ADJ crl-25015 192 5 - - PUNCT crl-25015 192 6 tail tail NOUN crl-25015 192 7 t t NOUN crl-25015 192 8 - - PUNCT crl-25015 192 9 tests test NOUN crl-25015 192 10 were be AUX crl-25015 192 11 conducted conduct VERB crl-25015 192 12 to to PART crl-25015 192 13 determine determine VERB crl-25015 192 14 if if SCONJ crl-25015 192 15 the the DET crl-25015 192 16 distribution distribution NOUN crl-25015 192 17 of of ADP crl-25015 192 18 auc auc NOUN crl-25015 192 19 scores score NOUN crl-25015 192 20 demonstrated demonstrate VERB crl-25015 192 21 that that SCONJ crl-25015 192 22 the the DET crl-25015 192 23 modeling modeling NOUN crl-25015 192 24 techniques technique NOUN crl-25015 192 25 used use VERB crl-25015 192 26 were be AUX crl-25015 192 27 able able ADJ crl-25015 192 28 to to PART crl-25015 192 29 generate generate VERB crl-25015 192 30 better well ADJ crl-25015 192 31 - - PUNCT crl-25015 192 32 than than ADP crl-25015 192 33 - - PUNCT crl-25015 192 34 random random ADJ crl-25015 192 35 predictions prediction NOUN crl-25015 192 36 in in ADP crl-25015 192 37 a a DET crl-25015 192 38 statistically statistically ADV crl-25015 192 39 significant significant ADJ crl-25015 192 40 way way NOUN crl-25015 192 41 . . PUNCT crl-25015 193 1 the the DET crl-25015 193 2 same same ADJ crl-25015 193 3 evaluation evaluation NOUN crl-25015 193 4 of of ADP crl-25015 193 5 auc auc NOUN crl-25015 193 6 scores score NOUN crl-25015 193 7 was be AUX crl-25015 193 8 conducted conduct VERB crl-25015 193 9 on on ADP crl-25015 193 10 subsets subset NOUN crl-25015 193 11 of of ADP crl-25015 193 12 vrs vrs PROPN crl-25015 193 13 transcripts transcript NOUN crl-25015 193 14 with with ADP crl-25015 193 15 respect respect NOUN crl-25015 193 16 to to AUX crl-25015 193 17 question question VERB crl-25015 193 18 type type NOUN crl-25015 193 19 labels label NOUN crl-25015 193 20 that that PRON crl-25015 193 21 were be AUX crl-25015 193 22 recorded record VERB crl-25015 193 23 by by ADP crl-25015 193 24 vrs vrs PROPN crl-25015 193 25 operators operator NOUN crl-25015 193 26 . . PUNCT crl-25015 194 1 further far ADV crl-25015 194 2 , , PUNCT crl-25015 194 3 simple simple ADJ crl-25015 194 4 classification classification NOUN crl-25015 194 5 accuracy accuracy NOUN crl-25015 194 6 of of ADP crl-25015 194 7 each each DET crl-25015 194 8 individual individual ADJ crl-25015 194 9 model model NOUN crl-25015 194 10 was be AUX crl-25015 194 11 calculated calculate VERB crl-25015 194 12 with with ADP crl-25015 194 13 respect respect NOUN crl-25015 194 14 to to ADP crl-25015 194 15 tag tag NOUN crl-25015 194 16 labels label NOUN crl-25015 194 17 and and CCONJ crl-25015 194 18 relevant relevant ADJ crl-25015 194 19 subsets subset NOUN crl-25015 194 20 of of ADP crl-25015 194 21 transcripts transcript NOUN crl-25015 194 22 . . PUNCT crl-25015 195 1 results result VERB crl-25015 195 2 the the DET crl-25015 195 3 results result NOUN crl-25015 195 4 of of ADP crl-25015 195 5 the the DET crl-25015 195 6 analysis analysis NOUN crl-25015 195 7 unambiguously unambiguously ADV crl-25015 195 8 demonstrated demonstrate VERB crl-25015 195 9 that that SCONJ crl-25015 195 10 the the DET crl-25015 195 11 models model NOUN crl-25015 195 12 are be AUX crl-25015 195 13 fully fully ADV crl-25015 195 14 capable capable ADJ crl-25015 195 15 of of ADP crl-25015 195 16 providing provide VERB crl-25015 195 17 library library NOUN crl-25015 195 18 service service NOUN crl-25015 195 19 managers manager NOUN crl-25015 195 20 with with ADP crl-25015 195 21 robust robust ADJ crl-25015 195 22 and and CCONJ crl-25015 195 23 reliably reliably ADV crl-25015 195 24 better well ADJ crl-25015 195 25 - - PUNCT crl-25015 195 26 than than ADP crl-25015 195 27 - - PUNCT crl-25015 195 28 random random ADJ crl-25015 195 29 predictions prediction NOUN crl-25015 195 30 regarding regard VERB crl-25015 195 31 the the DET crl-25015 195 32 relative relative ADJ crl-25015 195 33 difficulty difficulty NOUN crl-25015 195 34 of of ADP crl-25015 195 35 inbound inbound ADJ crl-25015 195 36 vrs vrs PROPN crl-25015 195 37 chat chat PROPN crl-25015 195 38 sessions session NOUN crl-25015 195 39 . . PUNCT crl-25015 196 1 in in ADP crl-25015 196 2 total total ADJ crl-25015 196 3 , , PUNCT crl-25015 196 4 640 640 NUM crl-25015 196 5 individual individual ADJ crl-25015 196 6 models model NOUN crl-25015 196 7 table table NOUN crl-25015 196 8 4 4 NUM crl-25015 196 9 mean mean NOUN crl-25015 196 10 auc auc NOUN crl-25015 196 11 scores score NOUN crl-25015 196 12 by by ADP crl-25015 196 13 data datum NOUN crl-25015 196 14 subsets subset NOUN crl-25015 196 15 694 694 NUM crl-25015 196 16 college college PROPN crl-25015 196 17 & & CCONJ crl-25015 196 18 research research PROPN crl-25015 196 19 libraries library NOUN crl-25015 196 20 july july PROPN crl-25015 196 21 2021 2021 NUM crl-25015 196 22 with with ADP crl-25015 196 23 unique unique ADJ crl-25015 196 24 modeling modeling NOUN crl-25015 196 25 parameters parameter NOUN crl-25015 196 26 were be AUX crl-25015 196 27 evaluated evaluate VERB crl-25015 196 28 . . PUNCT crl-25015 197 1 table table NOUN crl-25015 197 2 4 4 NUM crl-25015 197 3 shows show VERB crl-25015 197 4 a a DET crl-25015 197 5 comprehensive comprehensive ADJ crl-25015 197 6 summary summary NOUN crl-25015 197 7 of of ADP crl-25015 197 8 the the DET crl-25015 197 9 auc auc NOUN crl-25015 197 10 scores score NOUN crl-25015 197 11 with with ADP crl-25015 197 12 respect respect NOUN crl-25015 197 13 to to ADP crl-25015 197 14 various various ADJ crl-25015 197 15 subsets subset NOUN crl-25015 197 16 of of ADP crl-25015 197 17 the the DET crl-25015 197 18 data datum NOUN crl-25015 197 19 . . PUNCT crl-25015 198 1 since since SCONJ crl-25015 198 2 the the DET crl-25015 198 3 final final ADJ crl-25015 198 4 stage stage NOUN crl-25015 198 5 of of ADP crl-25015 198 6 the the DET crl-25015 198 7 modeling modeling NOUN crl-25015 198 8 process process NOUN crl-25015 198 9 required require VERB crl-25015 198 10 fully fully ADV crl-25015 198 11 valid valid ADJ crl-25015 198 12 samples sample NOUN crl-25015 198 13 to to PART crl-25015 198 14 calculate calculate VERB crl-25015 198 15 auc auc NOUN crl-25015 198 16 scores score NOUN crl-25015 198 17 , , PUNCT crl-25015 198 18 only only ADV crl-25015 198 19 training training NOUN crl-25015 198 20 and and CCONJ crl-25015 198 21 test test NOUN crl-25015 198 22 data datum NOUN crl-25015 198 23 with with ADP crl-25015 198 24 fully fully ADV crl-25015 198 25 labeled label VERB crl-25015 198 26 read read NOUN crl-25015 198 27 values value NOUN crl-25015 198 28 were be AUX crl-25015 198 29 evaluated evaluate VERB crl-25015 198 30 . . PUNCT crl-25015 199 1 consequently consequently ADV crl-25015 199 2 , , PUNCT crl-25015 199 3 the the DET crl-25015 199 4 number number NOUN crl-25015 199 5 of of ADP crl-25015 199 6 vrs vrs PROPN crl-25015 199 7 transcripts transcript NOUN crl-25015 199 8 that that PRON crl-25015 199 9 received receive VERB crl-25015 199 10 predictions prediction NOUN crl-25015 199 11 and and CCONJ crl-25015 199 12 whose whose DET crl-25015 199 13 predictions prediction NOUN crl-25015 199 14 were be AUX crl-25015 199 15 evaluated evaluate VERB crl-25015 199 16 for for ADP crl-25015 199 17 final final ADJ crl-25015 199 18 auc auc NOUN crl-25015 199 19 scores score NOUN crl-25015 199 20 from from ADP crl-25015 199 21 the the DET crl-25015 199 22 training training NOUN crl-25015 199 23 and and CCONJ crl-25015 199 24 testing testing NOUN crl-25015 199 25 data datum NOUN crl-25015 199 26 was be AUX crl-25015 199 27 reduced reduce VERB crl-25015 199 28 from from ADP crl-25015 199 29 12,604 12,604 NUM crl-25015 199 30 to to ADP crl-25015 199 31 10,162 10,162 NUM crl-25015 199 32 and and CCONJ crl-25015 199 33 from from ADP crl-25015 199 34 2,000 2,000 NUM crl-25015 199 35 to to ADP crl-25015 199 36 1,753 1,753 NUM crl-25015 199 37 , , PUNCT crl-25015 199 38 respectively respectively ADV crl-25015 199 39 . . PUNCT crl-25015 200 1 one one NUM crl-25015 200 2 aspect aspect NOUN crl-25015 200 3 of of ADP crl-25015 200 4 the the DET crl-25015 200 5 results result NOUN crl-25015 200 6 that that PRON crl-25015 200 7 became become VERB crl-25015 200 8 immediately immediately ADV crl-25015 200 9 apparent apparent ADJ crl-25015 200 10 was be AUX crl-25015 200 11 the the DET crl-25015 200 12 discrepancy discrepancy NOUN crl-25015 200 13 between between ADP crl-25015 200 14 the the DET crl-25015 200 15 auc auc NOUN crl-25015 200 16 scores score NOUN crl-25015 200 17 for for ADP crl-25015 200 18 comparable comparable ADJ crl-25015 200 19 training training NOUN crl-25015 200 20 and and CCONJ crl-25015 200 21 testing testing NOUN crl-25015 200 22 subsets subset NOUN crl-25015 200 23 . . PUNCT crl-25015 201 1 for for ADP crl-25015 201 2 the the DET crl-25015 201 3 overall overall ADJ crl-25015 201 4 model model NOUN crl-25015 201 5 evaluations evaluation NOUN crl-25015 201 6 , , PUNCT crl-25015 201 7 the the DET crl-25015 201 8 mean mean ADJ crl-25015 201 9 auc auc NOUN crl-25015 201 10 score score NOUN crl-25015 201 11 for for ADP crl-25015 201 12 the the DET crl-25015 201 13 training training NOUN crl-25015 201 14 data datum NOUN crl-25015 201 15 ( ( PUNCT crl-25015 201 16 in in ADP crl-25015 201 17 other other ADJ crl-25015 201 18 words word NOUN crl-25015 201 19 , , PUNCT crl-25015 201 20 internal internal ADJ crl-25015 201 21 validation validation NOUN crl-25015 201 22 ) ) PUNCT crl-25015 201 23 was be AUX crl-25015 201 24 approximately approximately ADV crl-25015 201 25 0.7700 0.7700 NUM crl-25015 201 26 , , PUNCT crl-25015 201 27 whereas whereas SCONJ crl-25015 201 28 the the DET crl-25015 201 29 score score NOUN crl-25015 201 30 for for ADP crl-25015 201 31 the the DET crl-25015 201 32 testing testing NOUN crl-25015 201 33 data datum NOUN crl-25015 201 34 ( ( PUNCT crl-25015 201 35 that that ADV crl-25015 201 36 is is ADV crl-25015 201 37 , , PUNCT crl-25015 201 38 external external ADJ crl-25015 201 39 validation validation NOUN crl-25015 201 40 ) ) PUNCT crl-25015 201 41 was be AUX crl-25015 201 42 0.6631 0.6631 NUM crl-25015 201 43 . . PUNCT crl-25015 202 1 this this DET crl-25015 202 2 pattern pattern NOUN crl-25015 202 3 repeated repeat VERB crl-25015 202 4 itself itself PRON crl-25015 202 5 in in ADP crl-25015 202 6 the the DET crl-25015 202 7 results result NOUN crl-25015 202 8 for for ADP crl-25015 202 9 all all DET crl-25015 202 10 subsets subset NOUN crl-25015 202 11 of of ADP crl-25015 202 12 data datum NOUN crl-25015 202 13 . . PUNCT crl-25015 203 1 however however ADV crl-25015 203 2 , , PUNCT crl-25015 203 3 right right ADV crl-25015 203 4 - - PUNCT crl-25015 203 5 tailed tail VERB crl-25015 203 6 ttests ttest NOUN crl-25015 203 7 revealed reveal VERB crl-25015 203 8 that that SCONJ crl-25015 203 9 the the DET crl-25015 203 10 auc auc NOUN crl-25015 203 11 scores score NOUN crl-25015 203 12 for for ADP crl-25015 203 13 all all DET crl-25015 203 14 models model NOUN crl-25015 203 15 associated associate VERB crl-25015 203 16 with with ADP crl-25015 203 17 the the DET crl-25015 203 18 training training NOUN crl-25015 203 19 data datum NOUN crl-25015 203 20 and and CCONJ crl-25015 203 21 nearly nearly ADV crl-25015 203 22 all all PRON crl-25015 203 23 models model NOUN crl-25015 203 24 associated associate VERB crl-25015 203 25 with with ADP crl-25015 203 26 the the DET crl-25015 203 27 testing testing NOUN crl-25015 203 28 data datum NOUN crl-25015 203 29 were be AUX crl-25015 203 30 , , PUNCT crl-25015 203 31 on on ADP crl-25015 203 32 average average ADJ crl-25015 203 33 , , PUNCT crl-25015 203 34 greater great ADJ crl-25015 203 35 than than ADP crl-25015 203 36 0.5 0.5 NUM crl-25015 203 37 to to ADP crl-25015 203 38 a a DET crl-25015 203 39 highly highly ADV crl-25015 203 40 statistically statistically ADV crl-25015 203 41 significant significant ADJ crl-25015 203 42 degree degree NOUN crl-25015 203 43 ( ( PUNCT crl-25015 203 44 p p NOUN crl-25015 203 45 < < X crl-25015 203 46 0.001 0.001 NUM crl-25015 203 47 ) ) PUNCT crl-25015 203 48 . . PUNCT crl-25015 204 1 since since SCONJ crl-25015 204 2 the the DET crl-25015 204 3 evaluation evaluation NOUN crl-25015 204 4 of of ADP crl-25015 204 5 the the DET crl-25015 204 6 testing testing NOUN crl-25015 204 7 data datum NOUN crl-25015 204 8 was be AUX crl-25015 204 9 meant mean VERB crl-25015 204 10 to to PART crl-25015 204 11 simulate simulate VERB crl-25015 204 12 “ " PUNCT crl-25015 204 13 new new ADJ crl-25015 204 14 ” " PUNCT crl-25015 204 15 vrs vrs NOUN crl-25015 204 16 interactions interaction NOUN crl-25015 204 17 , , PUNCT crl-25015 204 18 the the DET crl-25015 204 19 results result NOUN crl-25015 204 20 showed show VERB crl-25015 204 21 that that SCONJ crl-25015 204 22 the the DET crl-25015 204 23 predictive predictive ADJ crl-25015 204 24 models model NOUN crl-25015 204 25 were be AUX crl-25015 204 26 reliably reliably ADV crl-25015 204 27 better well ADJ crl-25015 204 28 than than ADP crl-25015 204 29 random random ADJ crl-25015 204 30 at at ADP crl-25015 204 31 predicting predict VERB crl-25015 204 32 the the DET crl-25015 204 33 relative relative ADJ crl-25015 204 34 difficulty difficulty NOUN crl-25015 204 35 of of ADP crl-25015 204 36 individual individual ADJ crl-25015 204 37 vrs vrs NOUN crl-25015 204 38 interactions interaction NOUN crl-25015 204 39 . . PUNCT crl-25015 205 1 in in ADP crl-25015 205 2 limited limited ADJ crl-25015 205 3 instances instance NOUN crl-25015 205 4 , , PUNCT crl-25015 205 5 the the DET crl-25015 205 6 auc auc NOUN crl-25015 205 7 scores score NOUN crl-25015 205 8 for for ADP crl-25015 205 9 some some DET crl-25015 205 10 testing testing NOUN crl-25015 205 11 subsets subset NOUN crl-25015 205 12 did do AUX crl-25015 205 13 not not PART crl-25015 205 14 show show VERB crl-25015 205 15 statistically statistically ADV crl-25015 205 16 significant significant ADJ crl-25015 205 17 or or CCONJ crl-25015 205 18 better well ADJ crl-25015 205 19 than than ADP crl-25015 205 20 random random ADJ crl-25015 205 21 predictive predictive ADJ crl-25015 205 22 accuracy accuracy NOUN crl-25015 205 23 . . PUNCT crl-25015 206 1 however however ADV crl-25015 206 2 , , PUNCT crl-25015 206 3 these these DET crl-25015 206 4 subsets subset NOUN crl-25015 206 5 were be AUX crl-25015 206 6 also also ADV crl-25015 206 7 characterized characterize VERB crl-25015 206 8 by by ADP crl-25015 206 9 relatively relatively ADV crl-25015 206 10 small small ADJ crl-25015 206 11 numbers number NOUN crl-25015 206 12 of of ADP crl-25015 206 13 vrs vrs NOUN crl-25015 206 14 samples sample NOUN crl-25015 206 15 ( ( PUNCT crl-25015 206 16 such such ADJ crl-25015 206 17 as as ADP crl-25015 206 18 “ " PUNCT crl-25015 206 19 copyright copyright NOUN crl-25015 206 20 , , PUNCT crl-25015 206 21 ” " PUNCT crl-25015 206 22 “ " PUNCT crl-25015 206 23 kapi kapi NOUN crl-25015 206 24 , , PUNCT crl-25015 206 25 ” " PUNCT crl-25015 206 26 “ " PUNCT crl-25015 206 27 krex krex PROPN crl-25015 206 28 , , PUNCT crl-25015 206 29 ” " PUNCT crl-25015 206 30 and and CCONJ crl-25015 206 31 “ " PUNCT crl-25015 206 32 newprairiepress newprairiepress NOUN crl-25015 206 33 ” " PUNCT crl-25015 206 34 ) ) PUNCT crl-25015 206 35 . . PUNCT crl-25015 207 1 since since SCONJ crl-25015 207 2 the the DET crl-25015 207 3 sample sample NOUN crl-25015 207 4 sizes size NOUN crl-25015 207 5 associated associate VERB crl-25015 207 6 with with ADP crl-25015 207 7 these these DET crl-25015 207 8 subsets subset NOUN crl-25015 207 9 were be AUX crl-25015 207 10 so so ADV crl-25015 207 11 drastically drastically ADV crl-25015 207 12 small small ADJ crl-25015 207 13 , , PUNCT crl-25015 207 14 auc auc NOUN crl-25015 207 15 scores score NOUN crl-25015 207 16 are be AUX crl-25015 207 17 not not PART crl-25015 207 18 a a DET crl-25015 207 19 reliable reliable ADJ crl-25015 207 20 performance performance NOUN crl-25015 207 21 metric metric ADJ crl-25015 207 22 and and CCONJ crl-25015 207 23 , , PUNCT crl-25015 207 24 in in ADP crl-25015 207 25 some some DET crl-25015 207 26 instances instance NOUN crl-25015 207 27 , , PUNCT crl-25015 207 28 were be AUX crl-25015 207 29 not not PART crl-25015 207 30 available available ADJ crl-25015 207 31 at at ADV crl-25015 207 32 all all ADV crl-25015 207 33 due due ADP crl-25015 207 34 to to ADP crl-25015 207 35 the the DET crl-25015 207 36 homogeneity homogeneity NOUN crl-25015 207 37 of of ADP crl-25015 207 38 the the DET crl-25015 207 39 samples sample NOUN crl-25015 207 40 ’ ’ PART crl-25015 207 41 difficulty difficulty NOUN crl-25015 207 42 ratings rating NOUN crl-25015 207 43 . . PUNCT crl-25015 208 1 figure figure NOUN crl-25015 208 2 5 5 NUM crl-25015 208 3 distribution distribution NOUN crl-25015 208 4 of of ADP crl-25015 208 5 auc auc NOUN crl-25015 208 6 scores score NOUN crl-25015 208 7 for for ADP crl-25015 208 8 full full ADJ crl-25015 208 9 training training NOUN crl-25015 208 10 and and CCONJ crl-25015 208 11 testing testing NOUN crl-25015 208 12 datasets dataset NOUN crl-25015 208 13 using use VERB crl-25015 208 14 machine machine NOUN crl-25015 208 15 learning learning NOUN crl-25015 208 16 to to PART crl-25015 208 17 predict predict VERB crl-25015 208 18 chat chat VERB crl-25015 208 19 difficulty difficulty NOUN crl-25015 208 20 695 695 NUM crl-25015 208 21 whereas whereas SCONJ crl-25015 208 22 the the DET crl-25015 208 23 metrics metric NOUN crl-25015 208 24 in in ADP crl-25015 208 25 table table NOUN crl-25015 208 26 4 4 NUM crl-25015 208 27 represent represent VERB crl-25015 208 28 and and CCONJ crl-25015 208 29 characterize characterize VERB crl-25015 208 30 the the DET crl-25015 208 31 auc auc NOUN crl-25015 208 32 scores score NOUN crl-25015 208 33 in in ADP crl-25015 208 34 aggregate aggregate NOUN crl-25015 208 35 , , PUNCT crl-25015 208 36 the the DET crl-25015 208 37 auc auc NOUN crl-25015 208 38 scores score NOUN crl-25015 208 39 for for ADP crl-25015 208 40 all all DET crl-25015 208 41 640 640 NUM crl-25015 208 42 models model NOUN crl-25015 208 43 may may AUX crl-25015 208 44 be be AUX crl-25015 208 45 better well ADV crl-25015 208 46 understood understand VERB crl-25015 208 47 as as ADP crl-25015 208 48 a a DET crl-25015 208 49 distribution distribution NOUN crl-25015 208 50 of of ADP crl-25015 208 51 modeling modeling NOUN crl-25015 208 52 performance performance NOUN crl-25015 208 53 . . PUNCT crl-25015 209 1 for for ADP crl-25015 209 2 example example NOUN crl-25015 209 3 , , PUNCT crl-25015 209 4 figure figure VERB crl-25015 209 5 5 5 NUM crl-25015 209 6 highlights highlight NOUN crl-25015 209 7 the the DET crl-25015 209 8 distribution distribution NOUN crl-25015 209 9 of of ADP crl-25015 209 10 auc auc NOUN crl-25015 209 11 scores score NOUN crl-25015 209 12 for for ADP crl-25015 209 13 all all PRON crl-25015 209 14 of of ADP crl-25015 209 15 the the DET crl-25015 209 16 models model NOUN crl-25015 209 17 with with ADP crl-25015 209 18 respect respect NOUN crl-25015 209 19 to to ADP crl-25015 209 20 the the DET crl-25015 209 21 entirety entirety NOUN crl-25015 209 22 of of ADP crl-25015 209 23 the the DET crl-25015 209 24 training training NOUN crl-25015 209 25 and and CCONJ crl-25015 209 26 testing testing NOUN crl-25015 209 27 subsets subset NOUN crl-25015 209 28 of of ADP crl-25015 209 29 the the DET crl-25015 209 30 data data NOUN crl-25015 209 31 . . PUNCT crl-25015 210 1 tagged tag VERB crl-25015 210 2 and and CCONJ crl-25015 210 3 untagged untagged ADJ crl-25015 210 4 subsets subset NOUN crl-25015 210 5 as as ADP crl-25015 210 6 part part NOUN crl-25015 210 7 of of ADP crl-25015 210 8 the the DET crl-25015 210 9 modeling modeling NOUN crl-25015 210 10 process process NOUN crl-25015 210 11 , , PUNCT crl-25015 210 12 the the DET crl-25015 210 13 authors author NOUN crl-25015 210 14 were be AUX crl-25015 210 15 able able ADJ crl-25015 210 16 to to PART crl-25015 210 17 analyze analyze VERB crl-25015 210 18 auc auc NOUN crl-25015 210 19 scores score NOUN crl-25015 210 20 with with ADP crl-25015 210 21 respect respect NOUN crl-25015 210 22 to to ADP crl-25015 210 23 specific specific ADJ crl-25015 210 24 subsets subset NOUN crl-25015 210 25 of of ADP crl-25015 210 26 both both CCONJ crl-25015 210 27 the the DET crl-25015 210 28 training training NOUN crl-25015 210 29 and and CCONJ crl-25015 210 30 testing testing NOUN crl-25015 210 31 data datum NOUN crl-25015 210 32 . . PUNCT crl-25015 211 1 first first ADV crl-25015 211 2 , , PUNCT crl-25015 211 3 independent independent ADJ crl-25015 211 4 of of ADP crl-25015 211 5 whether whether SCONJ crl-25015 211 6 the the DET crl-25015 211 7 tag tag NOUN crl-25015 211 8 modeling modeling NOUN crl-25015 211 9 parameter parameter NOUN crl-25015 211 10 was be AUX crl-25015 211 11 used use VERB crl-25015 211 12 during during ADP crl-25015 211 13 the the DET crl-25015 211 14 training training NOUN crl-25015 211 15 stage stage NOUN crl-25015 211 16 for for ADP crl-25015 211 17 any any DET crl-25015 211 18 individual individual ADJ crl-25015 211 19 model model NOUN crl-25015 211 20 , , PUNCT crl-25015 211 21 the the DET crl-25015 211 22 predictions prediction NOUN crl-25015 211 23 associated associate VERB crl-25015 211 24 with with ADP crl-25015 211 25 vrs vrs PROPN crl-25015 211 26 transcripts transcript NOUN crl-25015 211 27 containing contain VERB crl-25015 211 28 words word NOUN crl-25015 211 29 , , PUNCT crl-25015 211 30 phrases phrase NOUN crl-25015 211 31 , , PUNCT crl-25015 211 32 and and CCONJ crl-25015 211 33 patterns pattern NOUN crl-25015 211 34 that that PRON crl-25015 211 35 matched match VERB crl-25015 211 36 any any PRON crl-25015 211 37 of of ADP crl-25015 211 38 the the DET crl-25015 211 39 defined define VERB crl-25015 211 40 tag tag NOUN crl-25015 211 41 labels label VERB crl-25015 211 42 as as ADP crl-25015 211 43 a a DET crl-25015 211 44 distinct distinct ADJ crl-25015 211 45 subset subset NOUN crl-25015 211 46 ( ( PUNCT crl-25015 211 47 “ " PUNCT crl-25015 211 48 all all DET crl-25015 211 49 tagged tag VERB crl-25015 211 50 samples sample NOUN crl-25015 211 51 ” " PUNCT crl-25015 211 52 ) ) PUNCT crl-25015 211 53 were be AUX crl-25015 211 54 identified identify VERB crl-25015 211 55 and and CCONJ crl-25015 211 56 evaluated evaluate VERB crl-25015 211 57 . . PUNCT crl-25015 212 1 additionally additionally ADV crl-25015 212 2 , , PUNCT crl-25015 212 3 all all DET crl-25015 212 4 remaining remain VERB crl-25015 212 5 samples sample NOUN crl-25015 212 6 were be AUX crl-25015 212 7 evaluated evaluate VERB crl-25015 212 8 as as ADP crl-25015 212 9 a a DET crl-25015 212 10 complementary complementary ADJ crl-25015 212 11 subset subset NOUN crl-25015 212 12 ( ( PUNCT crl-25015 212 13 “ " PUNCT crl-25015 212 14 all all DET crl-25015 212 15 untagged untagged ADJ crl-25015 212 16 samples sample NOUN crl-25015 212 17 ” " PUNCT crl-25015 212 18 ) ) PUNCT crl-25015 212 19 . . PUNCT crl-25015 213 1 the the DET crl-25015 213 2 results result NOUN crl-25015 213 3 show show VERB crl-25015 213 4 that that SCONJ crl-25015 213 5 , , PUNCT crl-25015 213 6 for for ADP crl-25015 213 7 both both CCONJ crl-25015 213 8 the the DET crl-25015 213 9 training training NOUN crl-25015 213 10 and and CCONJ crl-25015 213 11 testing testing NOUN crl-25015 213 12 data datum NOUN crl-25015 213 13 , , PUNCT crl-25015 213 14 there there PRON crl-25015 213 15 is be VERB crl-25015 213 16 a a DET crl-25015 213 17 notable notable ADJ crl-25015 213 18 difference difference NOUN crl-25015 213 19 in in ADP crl-25015 213 20 the the DET crl-25015 213 21 auc auc NOUN crl-25015 213 22 scores score NOUN crl-25015 213 23 between between ADP crl-25015 213 24 tagged tag VERB crl-25015 213 25 and and CCONJ crl-25015 213 26 untagged untagged ADJ crl-25015 213 27 vrs vrs NOUN crl-25015 213 28 transcripts transcript NOUN crl-25015 213 29 . . PUNCT crl-25015 214 1 for for ADP crl-25015 214 2 the the DET crl-25015 214 3 training training NOUN crl-25015 214 4 data datum NOUN crl-25015 214 5 , , PUNCT crl-25015 214 6 the the DET crl-25015 214 7 auc auc NOUN crl-25015 214 8 score score NOUN crl-25015 214 9 for for ADP crl-25015 214 10 the the DET crl-25015 214 11 tagged tag VERB crl-25015 214 12 subset subset NOUN crl-25015 214 13 is be AUX crl-25015 214 14 greater great ADJ crl-25015 214 15 than than ADP crl-25015 214 16 the the DET crl-25015 214 17 untagged untagged ADJ crl-25015 214 18 subset subset NOUN crl-25015 214 19 by by ADP crl-25015 214 20 approximately approximately ADV crl-25015 214 21 +0.0552 +0.0552 X crl-25015 214 22 . . PUNCT crl-25015 215 1 for for ADP crl-25015 215 2 the the DET crl-25015 215 3 testing testing NOUN crl-25015 215 4 data datum NOUN crl-25015 215 5 , , PUNCT crl-25015 215 6 the the DET crl-25015 215 7 same same ADJ crl-25015 215 8 comparison comparison NOUN crl-25015 215 9 shows show VERB crl-25015 215 10 a a DET crl-25015 215 11 difference difference NOUN crl-25015 215 12 of of ADP crl-25015 215 13 +0.0681 +0.0681 NUM crl-25015 215 14 . . PUNCT crl-25015 216 1 for for ADP crl-25015 216 2 both both PRON crl-25015 216 3 of of ADP crl-25015 216 4 these these DET crl-25015 216 5 comparisons comparison NOUN crl-25015 216 6 , , PUNCT crl-25015 216 7 a a DET crl-25015 216 8 two two NUM crl-25015 216 9 - - PUNCT crl-25015 216 10 sample sample NOUN crl-25015 216 11 t t NOUN crl-25015 216 12 - - PUNCT crl-25015 216 13 test test NOUN crl-25015 216 14 revealed reveal VERB crl-25015 216 15 that that SCONJ crl-25015 216 16 the the DET crl-25015 216 17 difference difference NOUN crl-25015 216 18 in in ADP crl-25015 216 19 mean mean ADJ crl-25015 216 20 auc auc NOUN crl-25015 216 21 scores score NOUN crl-25015 216 22 was be AUX crl-25015 216 23 highly highly ADV crl-25015 216 24 statistically statistically ADV crl-25015 216 25 significant significant ADJ crl-25015 216 26 ( ( PUNCT crl-25015 216 27 p p NOUN crl-25015 216 28 < < X crl-25015 216 29 0.001 0.001 NUM crl-25015 216 30 ) ) PUNCT crl-25015 216 31 and and CCONJ crl-25015 216 32 not not PART crl-25015 216 33 a a DET crl-25015 216 34 product product NOUN crl-25015 216 35 of of ADP crl-25015 216 36 random random ADJ crl-25015 216 37 chance chance NOUN crl-25015 216 38 . . PUNCT crl-25015 217 1 in in ADP crl-25015 217 2 a a DET crl-25015 217 3 very very ADV crl-25015 217 4 loosely loosely ADV crl-25015 217 5 defined defined ADJ crl-25015 217 6 sense sense NOUN crl-25015 217 7 , , PUNCT crl-25015 217 8 these these DET crl-25015 217 9 results result NOUN crl-25015 217 10 can can AUX crl-25015 217 11 be be AUX crl-25015 217 12 described describe VERB crl-25015 217 13 as as ADP crl-25015 217 14 a a DET crl-25015 217 15 5 5 NUM crl-25015 217 16 and and CCONJ crl-25015 217 17 6 6 NUM crl-25015 217 18 percent percent NOUN crl-25015 217 19 increase increase NOUN crl-25015 217 20 to to ADP crl-25015 217 21 the the DET crl-25015 217 22 average average ADJ crl-25015 217 23 predictive predictive ADJ crl-25015 217 24 accuracy accuracy NOUN crl-25015 217 25 of of ADP crl-25015 217 26 the the DET crl-25015 217 27 models model NOUN crl-25015 217 28 when when SCONJ crl-25015 217 29 dealing deal VERB crl-25015 217 30 with with ADP crl-25015 217 31 tagged tag VERB crl-25015 217 32 samples sample NOUN crl-25015 217 33 in in ADP crl-25015 217 34 the the DET crl-25015 217 35 training training NOUN crl-25015 217 36 and and CCONJ crl-25015 217 37 testing testing NOUN crl-25015 217 38 data datum NOUN crl-25015 217 39 , , PUNCT crl-25015 217 40 respectively respectively ADV crl-25015 217 41 . . PUNCT crl-25015 218 1 these these DET crl-25015 218 2 results result NOUN crl-25015 218 3 demonstrated demonstrate VERB crl-25015 218 4 that that SCONJ crl-25015 218 5 vrs vrs NOUN crl-25015 218 6 transcripts transcript NOUN crl-25015 218 7 that that PRON crl-25015 218 8 are be AUX crl-25015 218 9 tagged tag VERB crl-25015 218 10 are be AUX crl-25015 218 11 , , PUNCT crl-25015 218 12 almost almost ADV crl-25015 218 13 by by ADP crl-25015 218 14 definition definition NOUN crl-25015 218 15 , , PUNCT crl-25015 218 16 easier easy ADJ crl-25015 218 17 to to PART crl-25015 218 18 predict predict VERB crl-25015 218 19 . . PUNCT crl-25015 219 1 this this PRON crl-25015 219 2 is be AUX crl-25015 219 3 due due ADJ crl-25015 219 4 to to ADP crl-25015 219 5 the the DET crl-25015 219 6 fact fact NOUN crl-25015 219 7 that that SCONJ crl-25015 219 8 the the DET crl-25015 219 9 tag tag NOUN crl-25015 219 10 labels label VERB crl-25015 219 11 , , PUNCT crl-25015 219 12 while while SCONJ crl-25015 219 13 subjectively subjectively ADV crl-25015 219 14 defined define VERB crl-25015 219 15 , , PUNCT crl-25015 219 16 reflect reflect VERB crl-25015 219 17 common common ADJ crl-25015 219 18 text text NOUN crl-25015 219 19 patterns pattern NOUN crl-25015 219 20 that that PRON crl-25015 219 21 librarians librarian NOUN crl-25015 219 22 can can AUX crl-25015 219 23 easily easily ADV crl-25015 219 24 identify identify VERB crl-25015 219 25 and and CCONJ crl-25015 219 26 characterize characterize VERB crl-25015 219 27 . . PUNCT crl-25015 220 1 it it PRON crl-25015 220 2 should should AUX crl-25015 220 3 be be AUX crl-25015 220 4 taken take VERB crl-25015 220 5 as as ADP crl-25015 220 6 an an DET crl-25015 220 7 encouraging encouraging ADJ crl-25015 220 8 sign sign NOUN crl-25015 220 9 that that SCONJ crl-25015 220 10 the the DET crl-25015 220 11 tagged tag VERB crl-25015 220 12 samples sample NOUN crl-25015 220 13 contained contain VERB crl-25015 220 14 patterns pattern NOUN crl-25015 220 15 that that SCONJ crl-25015 220 16 the the DET crl-25015 220 17 modeling modeling NOUN crl-25015 220 18 processes process NOUN crl-25015 220 19 were be AUX crl-25015 220 20 able able ADJ crl-25015 220 21 to to PART crl-25015 220 22 detect detect VERB crl-25015 220 23 and and CCONJ crl-25015 220 24 leverage leverage NOUN crl-25015 220 25 to to PART crl-25015 220 26 ultimately ultimately ADV crl-25015 220 27 produce produce VERB crl-25015 220 28 higher high ADJ crl-25015 220 29 - - PUNCT crl-25015 220 30 quality quality NOUN crl-25015 220 31 predictions prediction NOUN crl-25015 220 32 as as SCONJ crl-25015 220 33 reflected reflect VERB crl-25015 220 34 in in ADP crl-25015 220 35 the the DET crl-25015 220 36 increased increase VERB crl-25015 220 37 auc auc NOUN crl-25015 220 38 scores score NOUN crl-25015 220 39 , , PUNCT crl-25015 220 40 even even ADV crl-25015 220 41 in in ADP crl-25015 220 42 instances instance NOUN crl-25015 220 43 when when SCONJ crl-25015 220 44 the the DET crl-25015 220 45 modeling modeling NOUN crl-25015 220 46 parameters parameter NOUN crl-25015 220 47 did do AUX crl-25015 220 48 not not PART crl-25015 220 49 explicitly explicitly ADV crl-25015 220 50 include include VERB crl-25015 220 51 tag tag NOUN crl-25015 220 52 labels label NOUN crl-25015 220 53 as as ADP crl-25015 220 54 part part NOUN crl-25015 220 55 of of ADP crl-25015 220 56 the the DET crl-25015 220 57 model model NOUN crl-25015 220 58 fitting fitting ADJ crl-25015 220 59 and and CCONJ crl-25015 220 60 training training NOUN crl-25015 220 61 regime regime NOUN crl-25015 220 62 . . PUNCT crl-25015 221 1 question question NOUN crl-25015 221 2 types type NOUN crl-25015 221 3 in in ADP crl-25015 221 4 ksul ksul PROPN crl-25015 221 5 ’s ’s PART crl-25015 221 6 libinsight libinsight PROPN crl-25015 221 7 dataset dataset PROPN crl-25015 221 8 , , PUNCT crl-25015 221 9 every every DET crl-25015 221 10 recorded record VERB crl-25015 221 11 patron patron NOUN crl-25015 221 12 interaction interaction NOUN crl-25015 221 13 , , PUNCT crl-25015 221 14 vrs vrs PROPN crl-25015 221 15 transcripts transcript NOUN crl-25015 221 16 included include VERB crl-25015 221 17 , , PUNCT crl-25015 221 18 has have VERB crl-25015 221 19 a a DET crl-25015 221 20 question question NOUN crl-25015 221 21 type type NOUN crl-25015 221 22 label label NOUN crl-25015 221 23 . . PUNCT crl-25015 222 1 these these DET crl-25015 222 2 subjective subjective ADJ crl-25015 222 3 nominal nominal ADJ crl-25015 222 4 labels label NOUN crl-25015 222 5 enabled enable VERB crl-25015 222 6 the the DET crl-25015 222 7 authors author NOUN crl-25015 222 8 to to PART crl-25015 222 9 further far ADV crl-25015 222 10 investigate investigate VERB crl-25015 222 11 model model NOUN crl-25015 222 12 performance performance NOUN crl-25015 222 13 with with ADP crl-25015 222 14 respect respect NOUN crl-25015 222 15 to to ADP crl-25015 222 16 a a DET crl-25015 222 17 variety variety NOUN crl-25015 222 18 of of ADP crl-25015 222 19 subsets subset NOUN crl-25015 222 20 of of ADP crl-25015 222 21 the the DET crl-25015 222 22 data datum NOUN crl-25015 222 23 . . PUNCT crl-25015 223 1 although although SCONJ crl-25015 223 2 some some PRON crl-25015 223 3 of of ADP crl-25015 223 4 the the DET crl-25015 223 5 question question NOUN crl-25015 223 6 type type NOUN crl-25015 223 7 labels label NOUN crl-25015 223 8 are be AUX crl-25015 223 9 idiosyncratic idiosyncratic ADJ crl-25015 223 10 to to ADP crl-25015 223 11 ksul ksul NOUN crl-25015 223 12 ( ( PUNCT crl-25015 223 13 such such ADJ crl-25015 223 14 as as ADP crl-25015 223 15 “ " PUNCT crl-25015 223 16 kapi kapi NOUN crl-25015 223 17 , , PUNCT crl-25015 223 18 ” " PUNCT crl-25015 223 19 “ " PUNCT crl-25015 223 20 krex krex PROPN crl-25015 223 21 , , PUNCT crl-25015 223 22 ” " PUNCT crl-25015 223 23 and and CCONJ crl-25015 223 24 “ " PUNCT crl-25015 223 25 newprairiepress newprairiepress NOUN crl-25015 223 26 ” " PUNCT crl-25015 223 27 ) ) PUNCT crl-25015 223 28 , , PUNCT crl-25015 223 29 other other ADJ crl-25015 223 30 labels label NOUN crl-25015 223 31 represent represent VERB crl-25015 223 32 categories category NOUN crl-25015 223 33 of of ADP crl-25015 223 34 questions question NOUN crl-25015 223 35 that that PRON crl-25015 223 36 are be AUX crl-25015 223 37 common common ADJ crl-25015 223 38 across across ADP crl-25015 223 39 library library NOUN crl-25015 223 40 settings setting NOUN crl-25015 223 41 ( ( PUNCT crl-25015 223 42 such such ADJ crl-25015 223 43 as as ADP crl-25015 223 44 “ " PUNCT crl-25015 223 45 directional directional ADJ crl-25015 223 46 ” " PUNCT crl-25015 223 47 and and CCONJ crl-25015 223 48 “ " PUNCT crl-25015 223 49 reference reference NOUN crl-25015 223 50 ” " PUNCT crl-25015 223 51 ) ) PUNCT crl-25015 223 52 . . PUNCT crl-25015 224 1 one one NUM crl-25015 224 2 issue issue NOUN crl-25015 224 3 that that PRON crl-25015 224 4 stood stand VERB crl-25015 224 5 out out ADP crl-25015 224 6 in in ADP crl-25015 224 7 the the DET crl-25015 224 8 results result NOUN crl-25015 224 9 ( ( PUNCT crl-25015 224 10 see see VERB crl-25015 224 11 table table NOUN crl-25015 224 12 4 4 NUM crl-25015 224 13 ) ) PUNCT crl-25015 224 14 was be AUX crl-25015 224 15 that that DET crl-25015 224 16 question question NOUN crl-25015 224 17 type type NOUN crl-25015 224 18 labels label NOUN crl-25015 224 19 “ " PUNCT crl-25015 224 20 kapi kapi NOUN crl-25015 224 21 ” " PUNCT crl-25015 224 22 and and CCONJ crl-25015 224 23 “ " PUNCT crl-25015 224 24 krex krex PROPN crl-25015 224 25 ” " PUNCT crl-25015 224 26 were be AUX crl-25015 224 27 not not PART crl-25015 224 28 associated associate VERB crl-25015 224 29 with with ADP crl-25015 224 30 enough enough ADJ crl-25015 224 31 samples sample NOUN crl-25015 224 32 in in ADP crl-25015 224 33 the the DET crl-25015 224 34 testing testing NOUN crl-25015 224 35 data datum NOUN crl-25015 224 36 to to PART crl-25015 224 37 calculate calculate VERB crl-25015 224 38 auc auc NOUN crl-25015 224 39 scores score NOUN crl-25015 224 40 . . PUNCT crl-25015 225 1 furthermore furthermore ADV crl-25015 225 2 , , PUNCT crl-25015 225 3 the the DET crl-25015 225 4 “ " PUNCT crl-25015 225 5 copyright copyright NOUN crl-25015 225 6 ” " PUNCT crl-25015 225 7 and and CCONJ crl-25015 225 8 “ " PUNCT crl-25015 225 9 newprairiepress newprairiepress NOUN crl-25015 225 10 ” " PUNCT crl-25015 225 11 labels label NOUN crl-25015 225 12 were be AUX crl-25015 225 13 associated associate VERB crl-25015 225 14 with with ADP crl-25015 225 15 so so ADV crl-25015 225 16 few few ADJ crl-25015 225 17 samples sample NOUN crl-25015 225 18 in in ADP crl-25015 225 19 the the DET crl-25015 225 20 testing testing NOUN crl-25015 225 21 data datum NOUN crl-25015 225 22 that that PRON crl-25015 225 23 the the DET crl-25015 225 24 mean mean ADJ crl-25015 225 25 auc auc NOUN crl-25015 225 26 scores score NOUN crl-25015 225 27 , , PUNCT crl-25015 225 28 while while SCONJ crl-25015 225 29 positive positive ADJ crl-25015 225 30 , , PUNCT crl-25015 225 31 were be AUX crl-25015 225 32 not not PART crl-25015 225 33 remotely remotely ADV crl-25015 225 34 statistically statistically ADV crl-25015 225 35 significant significant ADJ crl-25015 225 36 ( ( PUNCT crl-25015 225 37 p p NOUN crl-25015 225 38 > > X crl-25015 225 39 0.10 0.10 NUM crl-25015 225 40 ) ) PUNCT crl-25015 225 41 . . PUNCT crl-25015 226 1 the the DET crl-25015 226 2 mean mean ADJ crl-25015 226 3 auc auc NOUN crl-25015 226 4 scores score NOUN crl-25015 226 5 for for ADP crl-25015 226 6 all all DET crl-25015 226 7 other other ADJ crl-25015 226 8 subsets subset NOUN crl-25015 226 9 associated associate VERB crl-25015 226 10 with with ADP crl-25015 226 11 the the DET crl-25015 226 12 remaining remain VERB crl-25015 226 13 question question NOUN crl-25015 226 14 type type NOUN crl-25015 226 15 labels label NOUN crl-25015 226 16 were be AUX crl-25015 226 17 statistically statistically ADV crl-25015 226 18 significant significant ADJ crl-25015 226 19 ( ( PUNCT crl-25015 226 20 p p NOUN crl-25015 226 21 < < X crl-25015 226 22 0.001 0.001 NUM crl-25015 226 23 ) ) PUNCT crl-25015 226 24 and and CCONJ crl-25015 226 25 showed show VERB crl-25015 226 26 that that SCONJ crl-25015 226 27 the the DET crl-25015 226 28 modeling modeling NOUN crl-25015 226 29 processes process NOUN crl-25015 226 30 could could AUX crl-25015 226 31 reliably reliably ADV crl-25015 226 32 predict predict VERB crl-25015 226 33 the the DET crl-25015 226 34 relative relative ADJ crl-25015 226 35 difficulty difficulty NOUN crl-25015 226 36 of of ADP crl-25015 226 37 vrs vrs PROPN crl-25015 226 38 transcripts transcript NOUN crl-25015 226 39 across across ADP crl-25015 226 40 multiple multiple ADJ crl-25015 226 41 categories category NOUN crl-25015 226 42 . . PUNCT crl-25015 227 1 another another DET crl-25015 227 2 interesting interesting ADJ crl-25015 227 3 result result NOUN crl-25015 227 4 that that PRON crl-25015 227 5 manifested manifest VERB crl-25015 227 6 in in ADP crl-25015 227 7 the the DET crl-25015 227 8 data datum NOUN crl-25015 227 9 was be AUX crl-25015 227 10 the the DET crl-25015 227 11 discrepancy discrepancy NOUN crl-25015 227 12 between between ADP crl-25015 227 13 the the DET crl-25015 227 14 respective respective ADJ crl-25015 227 15 question question NOUN crl-25015 227 16 type type NOUN crl-25015 227 17 subsets subset NOUN crl-25015 227 18 in in ADP crl-25015 227 19 the the DET crl-25015 227 20 training training NOUN crl-25015 227 21 and and CCONJ crl-25015 227 22 testing testing NOUN crl-25015 227 23 data datum NOUN crl-25015 227 24 . . PUNCT crl-25015 228 1 as as SCONJ crl-25015 228 2 shown show VERB crl-25015 228 3 in in ADP crl-25015 228 4 figure figure NOUN crl-25015 228 5 6 6 NUM crl-25015 228 6 , , PUNCT crl-25015 228 7 the the DET crl-25015 228 8 696 696 NUM crl-25015 228 9 college college PROPN crl-25015 228 10 & & CCONJ crl-25015 228 11 research research PROPN crl-25015 228 12 libraries library NOUN crl-25015 228 13 july july PROPN crl-25015 228 14 2021 2021 NUM crl-25015 228 15 figure figure NOUN crl-25015 228 16 6 6 NUM crl-25015 228 17 distribution distribution NOUN crl-25015 228 18 of of ADP crl-25015 228 19 auc auc NOUN crl-25015 228 20 scores score NOUN crl-25015 228 21 by by ADP crl-25015 228 22 question question NOUN crl-25015 228 23 type type NOUN crl-25015 228 24 ( ( PUNCT crl-25015 228 25 training training NOUN crl-25015 228 26 data datum NOUN crl-25015 228 27 ) ) PUNCT crl-25015 228 28 figure figure NOUN crl-25015 228 29 7 7 NUM crl-25015 228 30 distribution distribution NOUN crl-25015 228 31 of of ADP crl-25015 228 32 auc auc NOUN crl-25015 228 33 scores score NOUN crl-25015 228 34 by by ADP crl-25015 228 35 question question NOUN crl-25015 228 36 type type NOUN crl-25015 228 37 ( ( PUNCT crl-25015 228 38 testing testing NOUN crl-25015 228 39 data datum NOUN crl-25015 228 40 ) ) PUNCT crl-25015 228 41 using use VERB crl-25015 228 42 machine machine NOUN crl-25015 228 43 learning learning NOUN crl-25015 228 44 to to PART crl-25015 228 45 predict predict VERB crl-25015 228 46 chat chat VERB crl-25015 228 47 difficulty difficulty NOUN crl-25015 228 48 697 697 NUM crl-25015 228 49 distributions distribution NOUN crl-25015 228 50 of of ADP crl-25015 228 51 the the DET crl-25015 228 52 mean mean ADJ crl-25015 228 53 auc auc NOUN crl-25015 228 54 scores score NOUN crl-25015 228 55 in in ADP crl-25015 228 56 the the DET crl-25015 228 57 training training NOUN crl-25015 228 58 data datum NOUN crl-25015 228 59 for for ADP crl-25015 228 60 the the DET crl-25015 228 61 subsets subset NOUN crl-25015 228 62 associated associate VERB crl-25015 228 63 with with ADP crl-25015 228 64 the the DET crl-25015 228 65 six six NUM crl-25015 228 66 most most ADV crl-25015 228 67 prevalent prevalent ADJ crl-25015 228 68 question question NOUN crl-25015 228 69 type type NOUN crl-25015 228 70 labels label NOUN crl-25015 228 71 ( ( PUNCT crl-25015 228 72 “ " PUNCT crl-25015 228 73 building build VERB crl-25015 228 74 , , PUNCT crl-25015 228 75 ” " PUNCT crl-25015 228 76 “ " PUNCT crl-25015 228 77 circulation circulation NOUN crl-25015 228 78 , , PUNCT crl-25015 228 79 ” " PUNCT crl-25015 228 80 “ " PUNCT crl-25015 228 81 directional directional ADJ crl-25015 228 82 , , PUNCT crl-25015 228 83 ” " PUNCT crl-25015 228 84 “ " PUNCT crl-25015 228 85 misc misc PROPN crl-25015 228 86 , , PUNCT crl-25015 228 87 ” " PUNCT crl-25015 228 88 “ " PUNCT crl-25015 228 89 reference reference NOUN crl-25015 228 90 , , PUNCT crl-25015 228 91 ” " PUNCT crl-25015 228 92 and and CCONJ crl-25015 228 93 “ " PUNCT crl-25015 228 94 technical technical ADJ crl-25015 228 95 ” " PUNCT crl-25015 228 96 ) ) PUNCT crl-25015 228 97 were be AUX crl-25015 228 98 extremely extremely ADV crl-25015 228 99 similar similar ADJ crl-25015 228 100 . . PUNCT crl-25015 229 1 by by ADP crl-25015 229 2 contrast contrast NOUN crl-25015 229 3 , , PUNCT crl-25015 229 4 figure figure VERB crl-25015 229 5 7 7 NUM crl-25015 229 6 shows show VERB crl-25015 229 7 the the DET crl-25015 229 8 same same ADJ crl-25015 229 9 distributions distribution NOUN crl-25015 229 10 for for ADP crl-25015 229 11 the the DET crl-25015 229 12 testing testing NOUN crl-25015 229 13 data datum NOUN crl-25015 229 14 . . PUNCT crl-25015 230 1 in in ADP crl-25015 230 2 the the DET crl-25015 230 3 latter latter ADJ crl-25015 230 4 figure figure NOUN crl-25015 230 5 , , PUNCT crl-25015 230 6 the the DET crl-25015 230 7 distributions distribution NOUN crl-25015 230 8 for for ADP crl-25015 230 9 each each PRON crl-25015 230 10 of of ADP crl-25015 230 11 the the DET crl-25015 230 12 question question NOUN crl-25015 230 13 type type NOUN crl-25015 230 14 labels label NOUN crl-25015 230 15 were be AUX crl-25015 230 16 markedly markedly ADV crl-25015 230 17 different different ADJ crl-25015 230 18 , , PUNCT crl-25015 230 19 indicating indicate VERB crl-25015 230 20 that that SCONJ crl-25015 230 21 the the DET crl-25015 230 22 modeling modeling NOUN crl-25015 230 23 processes process NOUN crl-25015 230 24 do do AUX crl-25015 230 25 not not PART crl-25015 230 26 perform perform VERB crl-25015 230 27 consistently consistently ADV crl-25015 230 28 across across ADP crl-25015 230 29 all all DET crl-25015 230 30 categories category NOUN crl-25015 230 31 when when SCONJ crl-25015 230 32 evaluated evaluate VERB crl-25015 230 33 against against ADP crl-25015 230 34 external external ADJ crl-25015 230 35 or or CCONJ crl-25015 230 36 new new ADJ crl-25015 230 37 data datum NOUN crl-25015 230 38 . . PUNCT crl-25015 231 1 with with ADP crl-25015 231 2 respect respect NOUN crl-25015 231 3 to to ADP crl-25015 231 4 the the DET crl-25015 231 5 testing testing NOUN crl-25015 231 6 data datum NOUN crl-25015 231 7 , , PUNCT crl-25015 231 8 while while SCONJ crl-25015 231 9 the the DET crl-25015 231 10 “ " PUNCT crl-25015 231 11 reference reference NOUN crl-25015 231 12 ” " PUNCT crl-25015 231 13 questions question NOUN crl-25015 231 14 maintained maintain VERB crl-25015 231 15 a a DET crl-25015 231 16 relatively relatively ADV crl-25015 231 17 narrow narrow ADJ crl-25015 231 18 and and CCONJ crl-25015 231 19 dense dense ADJ crl-25015 231 20 distribution distribution NOUN crl-25015 231 21 range range NOUN crl-25015 231 22 of of ADP crl-25015 231 23 auc auc NOUN crl-25015 231 24 scores score NOUN crl-25015 231 25 , , PUNCT crl-25015 231 26 the the DET crl-25015 231 27 results result NOUN crl-25015 231 28 associated associate VERB crl-25015 231 29 with with ADP crl-25015 231 30 the the DET crl-25015 231 31 other other ADJ crl-25015 231 32 question question NOUN crl-25015 231 33 type type NOUN crl-25015 231 34 labels label NOUN crl-25015 231 35 were be AUX crl-25015 231 36 much much ADV crl-25015 231 37 more more ADV crl-25015 231 38 varied varied ADJ crl-25015 231 39 and and CCONJ crl-25015 231 40 dispersed disperse VERB crl-25015 231 41 . . PUNCT crl-25015 232 1 tag tag NOUN crl-25015 232 2 parameter parameter NOUN crl-25015 232 3 labels label NOUN crl-25015 232 4 while while SCONJ crl-25015 232 5 the the DET crl-25015 232 6 authors author NOUN crl-25015 232 7 were be AUX crl-25015 232 8 able able ADJ crl-25015 232 9 to to PART crl-25015 232 10 identify identify VERB crl-25015 232 11 granular granular ADJ crl-25015 232 12 subsets subset NOUN crl-25015 232 13 of of ADP crl-25015 232 14 samples sample NOUN crl-25015 232 15 that that PRON crl-25015 232 16 matched match VERB crl-25015 232 17 patterns pattern NOUN crl-25015 232 18 among among ADP crl-25015 232 19 individual individual ADJ crl-25015 232 20 tag tag NOUN crl-25015 232 21 labels label NOUN crl-25015 232 22 ( ( PUNCT crl-25015 232 23 see see VERB crl-25015 232 24 appendix appendix PROPN crl-25015 232 25 ) ) PUNCT crl-25015 232 26 in in ADP crl-25015 232 27 both both CCONJ crl-25015 232 28 the the DET crl-25015 232 29 training training NOUN crl-25015 232 30 and and CCONJ crl-25015 232 31 testing testing NOUN crl-25015 232 32 data datum NOUN crl-25015 232 33 , , PUNCT crl-25015 232 34 it it PRON crl-25015 232 35 was be AUX crl-25015 232 36 not not PART crl-25015 232 37 possible possible ADJ crl-25015 232 38 to to PART crl-25015 232 39 evaluate evaluate VERB crl-25015 232 40 these these DET crl-25015 232 41 subsets subset NOUN crl-25015 232 42 using use VERB crl-25015 232 43 auc auc NOUN crl-25015 232 44 scores score NOUN crl-25015 232 45 . . PUNCT crl-25015 233 1 for for ADP crl-25015 233 2 many many ADJ crl-25015 233 3 of of ADP crl-25015 233 4 these these DET crl-25015 233 5 subsets subset NOUN crl-25015 233 6 , , PUNCT crl-25015 233 7 there there PRON crl-25015 233 8 were be VERB crl-25015 233 9 either either CCONJ crl-25015 233 10 too too ADV crl-25015 233 11 few few ADJ crl-25015 233 12 samples sample NOUN crl-25015 233 13 or or CCONJ crl-25015 233 14 all all DET crl-25015 233 15 available available ADJ crl-25015 233 16 samples sample NOUN crl-25015 233 17 ’ ' PUNCT crl-25015 233 18 read read VERB crl-25015 233 19 labels label NOUN crl-25015 233 20 were be AUX crl-25015 233 21 identical identical ADJ crl-25015 233 22 and and CCONJ crl-25015 233 23 thus thus ADV crl-25015 233 24 could could AUX crl-25015 233 25 not not PART crl-25015 233 26 be be AUX crl-25015 233 27 evaluated evaluate VERB crl-25015 233 28 using use VERB crl-25015 233 29 roc roc PROPN crl-25015 233 30 auc auc NOUN crl-25015 233 31 as as ADP crl-25015 233 32 a a DET crl-25015 233 33 performance performance NOUN crl-25015 233 34 metric metric ADJ crl-25015 233 35 . . PUNCT crl-25015 234 1 however however ADV crl-25015 234 2 , , PUNCT crl-25015 234 3 it it PRON crl-25015 234 4 was be AUX crl-25015 234 5 possible possible ADJ crl-25015 234 6 to to PART crl-25015 234 7 calculate calculate VERB crl-25015 234 8 simple simple ADJ crl-25015 234 9 classification classification NOUN crl-25015 234 10 accuracy accuracy NOUN crl-25015 234 11 scores score NOUN crl-25015 234 12 for for ADP crl-25015 234 13 nearly nearly ADV crl-25015 234 14 all all PRON crl-25015 234 15 subsets subset NOUN crl-25015 234 16 in in ADP crl-25015 234 17 both both CCONJ crl-25015 234 18 the the DET crl-25015 234 19 training training NOUN crl-25015 234 20 and and CCONJ crl-25015 234 21 testing testing NOUN crl-25015 234 22 data datum NOUN crl-25015 234 23 ( ( PUNCT crl-25015 234 24 see see VERB crl-25015 234 25 table table NOUN crl-25015 234 26 5 5 NUM crl-25015 234 27 ) ) PUNCT crl-25015 234 28 . . PUNCT crl-25015 235 1 table table NOUN crl-25015 235 2 5 5 NUM crl-25015 235 3 mean mean ADJ crl-25015 235 4 classification classification NOUN crl-25015 235 5 accuracy accuracy NOUN crl-25015 235 6 scores score NOUN crl-25015 235 7 by by ADP crl-25015 235 8 tag tag NOUN crl-25015 235 9 labels label NOUN crl-25015 235 10 training train VERB crl-25015 235 11 data data NOUN crl-25015 235 12 testing testing NOUN crl-25015 235 13 data datum NOUN crl-25015 235 14 tag tag NOUN crl-25015 235 15 labels label NOUN crl-25015 235 16 n n PROPN crl-25015 235 17 ( ( PUNCT crl-25015 235 18 transcripts transcript NOUN crl-25015 235 19 ) ) PUNCT crl-25015 235 20 average average ADJ crl-25015 235 21 accuracy accuracy NOUN crl-25015 235 22 score score NOUN crl-25015 235 23 n n PROPN crl-25015 235 24 ( ( PUNCT crl-25015 235 25 transcripts transcript NOUN crl-25015 235 26 ) ) PUNCT crl-25015 235 27 average average ADJ crl-25015 235 28 accuracy accuracy NOUN crl-25015 235 29 score score NOUN crl-25015 235 30 tagarticles tagarticle NOUN crl-25015 235 31 786 786 NUM crl-25015 235 32 74.88 74.88 NUM crl-25015 235 33 % % NOUN crl-25015 235 34 141 141 NUM crl-25015 235 35 69.21 69.21 NUM crl-25015 235 36 % % NOUN crl-25015 235 37 tagcurriculum tagcurriculum NOUN crl-25015 235 38 7 7 NUM crl-25015 235 39 74.53 74.53 NUM crl-25015 235 40 % % NOUN crl-25015 235 41 1 1 NUM crl-25015 235 42 52.97 52.97 NUM crl-25015 235 43 % % NOUN crl-25015 235 44 tagevidencebased tagevidencebase VERB crl-25015 235 45 20 20 NUM crl-25015 235 46 77.62 77.62 NUM crl-25015 235 47 % % NOUN crl-25015 235 48 1 1 NUM crl-25015 235 49 50.31 50.31 NUM crl-25015 235 50 % % NOUN crl-25015 235 51 taghours taghour VERB crl-25015 235 52 253 253 NUM crl-25015 235 53 83.55 83.55 NUM crl-25015 235 54 % % NOUN crl-25015 235 55 62 62 NUM crl-25015 235 56 72.74 72.74 NUM crl-25015 235 57 % % NOUN crl-25015 235 58 tagjuvenile tagjuvenile NOUN crl-25015 235 59 40 40 NUM crl-25015 235 60 81.20 81.20 NUM crl-25015 235 61 % % NOUN crl-25015 235 62 10 10 NUM crl-25015 235 63 84.10 84.10 NUM crl-25015 235 64 % % NOUN crl-25015 235 65 tagknownitemarticle tagknownitemarticle NOUN crl-25015 235 66 258 258 NUM crl-25015 235 67 73.90 73.90 NUM crl-25015 235 68 % % NOUN crl-25015 235 69 78 78 NUM crl-25015 235 70 69.26 69.26 NUM crl-25015 235 71 % % NOUN crl-25015 235 72 tagknownitembook tagknownitembook NOUN crl-25015 235 73 312 312 NUM crl-25015 235 74 76.96 76.96 NUM crl-25015 235 75 % % NOUN crl-25015 235 76 57 57 NUM crl-25015 235 77 75.92 75.92 NUM crl-25015 235 78 % % NOUN crl-25015 235 79 taglibhale taglibhale NOUN crl-25015 235 80 521 521 NUM crl-25015 235 81 78.79 78.79 NUM crl-25015 235 82 % % NOUN crl-25015 235 83 109 109 NUM crl-25015 235 84 75.68 75.68 NUM crl-25015 235 85 % % NOUN crl-25015 235 86 tagliblocation tagliblocation NOUN crl-25015 235 87 323 323 NUM crl-25015 235 88 84.93 84.93 NUM crl-25015 235 89 % % NOUN crl-25015 235 90 38 38 NUM crl-25015 235 91 73.22 73.22 NUM crl-25015 235 92 % % NOUN crl-25015 235 93 taglibmathphys taglibmathphy NOUN crl-25015 235 94 6 6 NUM crl-25015 235 95 76.38 76.38 NUM crl-25015 235 96 % % NOUN crl-25015 235 97 0 0 NUM crl-25015 235 98 — — PUNCT crl-25015 235 99 taglibstacks taglibstack VERB crl-25015 235 100 50 50 NUM crl-25015 235 101 79.94 79.94 NUM crl-25015 235 102 % % NOUN crl-25015 235 103 5 5 NUM crl-25015 235 104 86.09 86.09 NUM crl-25015 235 105 % % NOUN crl-25015 235 106 taglibvetmed taglibvetme VERB crl-25015 235 107 8 8 NUM crl-25015 235 108 65.25 65.25 NUM crl-25015 235 109 % % NOUN crl-25015 235 110 2 2 NUM crl-25015 235 111 84.92 84.92 NUM crl-25015 235 112 % % NOUN crl-25015 235 113 taglibweigel taglibweigel NOUN crl-25015 235 114 15 15 NUM crl-25015 235 115 76.33 76.33 NUM crl-25015 235 116 % % NOUN crl-25015 235 117 5 5 NUM crl-25015 235 118 61.27 61.27 NUM crl-25015 235 119 % % NOUN crl-25015 235 120 tagprinting tagprinte VERB crl-25015 235 121 119 119 NUM crl-25015 235 122 82.38 82.38 NUM crl-25015 235 123 % % NOUN crl-25015 235 124 12 12 NUM crl-25015 235 125 69.49 69.49 NUM crl-25015 235 126 % % NOUN crl-25015 235 127 tagquiet tagquiet PROPN crl-25015 235 128 125 125 NUM crl-25015 235 129 89.08 89.08 NUM crl-25015 235 130 % % NOUN crl-25015 235 131 15 15 NUM crl-25015 235 132 68.56 68.56 NUM crl-25015 235 133 % % NOUN crl-25015 235 134 tagreference tagreference NOUN crl-25015 235 135 381 381 NUM crl-25015 235 136 74.92 74.92 NUM crl-25015 235 137 % % NOUN crl-25015 235 138 49 49 NUM crl-25015 235 139 68.66 68.66 NUM crl-25015 235 140 % % NOUN crl-25015 235 141 tagscanner tagscanner NOUN crl-25015 235 142 49 49 NUM crl-25015 235 143 82.28 82.28 NUM crl-25015 235 144 % % NOUN crl-25015 235 145 8 8 NUM crl-25015 235 146 77.59 77.59 NUM crl-25015 235 147 % % NOUN crl-25015 235 148 tagtextbooks tagtextbook NOUN crl-25015 235 149 90 90 NUM crl-25015 235 150 77.16 77.16 NUM crl-25015 235 151 % % NOUN crl-25015 235 152 19 19 NUM crl-25015 235 153 83.93 83.93 NUM crl-25015 235 154 % % NOUN crl-25015 235 155 tagurl tagurl VERB crl-25015 235 156 206 206 NUM crl-25015 235 157 77.74 77.74 NUM crl-25015 235 158 % % NOUN crl-25015 235 159 52 52 NUM crl-25015 235 160 72.83 72.83 NUM crl-25015 235 161 % % NOUN crl-25015 235 162 698 698 NUM crl-25015 235 163 college college NOUN crl-25015 235 164 & & CCONJ crl-25015 235 165 research research PROPN crl-25015 235 166 libraries library NOUN crl-25015 235 167 july july PROPN crl-25015 235 168 2021 2021 NUM crl-25015 235 169 similar similar ADJ crl-25015 235 170 to to ADP crl-25015 235 171 the the DET crl-25015 235 172 aforementioned aforementione VERB crl-25015 235 173 results result NOUN crl-25015 235 174 , , PUNCT crl-25015 235 175 the the DET crl-25015 235 176 predictive predictive ADJ crl-25015 235 177 accuracy accuracy NOUN crl-25015 235 178 of of ADP crl-25015 235 179 the the DET crl-25015 235 180 modeling modeling NOUN crl-25015 235 181 processes process NOUN crl-25015 235 182 was be AUX crl-25015 235 183 greater great ADJ crl-25015 235 184 for for ADP crl-25015 235 185 the the DET crl-25015 235 186 training training NOUN crl-25015 235 187 data datum NOUN crl-25015 235 188 than than ADP crl-25015 235 189 for for ADP crl-25015 235 190 the the DET crl-25015 235 191 testing testing NOUN crl-25015 235 192 data datum NOUN crl-25015 235 193 . . PUNCT crl-25015 236 1 however however ADV crl-25015 236 2 , , PUNCT crl-25015 236 3 even even ADV crl-25015 236 4 when when SCONJ crl-25015 236 5 predicting predict VERB crl-25015 236 6 the the DET crl-25015 236 7 relative relative ADJ crl-25015 236 8 difficulty difficulty NOUN crl-25015 236 9 of of ADP crl-25015 236 10 the the DET crl-25015 236 11 vrs vrs NOUN crl-25015 236 12 transcripts transcript NOUN crl-25015 236 13 in in ADP crl-25015 236 14 the the DET crl-25015 236 15 testing testing NOUN crl-25015 236 16 data datum NOUN crl-25015 236 17 , , PUNCT crl-25015 236 18 the the DET crl-25015 236 19 predictive predictive ADJ crl-25015 236 20 accuracy accuracy NOUN crl-25015 236 21 associated associate VERB crl-25015 236 22 with with ADP crl-25015 236 23 many many ADJ crl-25015 236 24 of of ADP crl-25015 236 25 the the DET crl-25015 236 26 individual individual ADJ crl-25015 236 27 tag tag NOUN crl-25015 236 28 labels label NOUN crl-25015 236 29 indicated indicate VERB crl-25015 236 30 that that SCONJ crl-25015 236 31 the the DET crl-25015 236 32 modeling modeling NOUN crl-25015 236 33 processes process NOUN crl-25015 236 34 generated generate VERB crl-25015 236 35 robust robust ADJ crl-25015 236 36 predictions prediction NOUN crl-25015 236 37 . . PUNCT crl-25015 237 1 for for ADP crl-25015 237 2 example example NOUN crl-25015 237 3 , , PUNCT crl-25015 237 4 for for ADP crl-25015 237 5 the the DET crl-25015 237 6 two two NUM crl-25015 237 7 most most ADV crl-25015 237 8 prevalent prevalent ADJ crl-25015 237 9 tag tag NOUN crl-25015 237 10 labels label NOUN crl-25015 237 11 in in ADP crl-25015 237 12 the the DET crl-25015 237 13 testing testing NOUN crl-25015 237 14 dataset dataset NOUN crl-25015 237 15 , , PUNCT crl-25015 237 16 “ " PUNCT crl-25015 237 17 tagarticles tagarticle NOUN crl-25015 237 18 ” " PUNCT crl-25015 237 19 and and CCONJ crl-25015 237 20 “ " PUNCT crl-25015 237 21 taglibhale taglibhale NOUN crl-25015 237 22 , , PUNCT crl-25015 237 23 ” " PUNCT crl-25015 237 24 the the DET crl-25015 237 25 average average ADJ crl-25015 237 26 classification classification NOUN crl-25015 237 27 accuracy accuracy NOUN crl-25015 237 28 score score NOUN crl-25015 237 29 across across ADP crl-25015 237 30 all all DET crl-25015 237 31 modeling modeling NOUN crl-25015 237 32 processes process NOUN crl-25015 237 33 was be AUX crl-25015 237 34 69.21 69.21 NUM crl-25015 237 35 and and CCONJ crl-25015 237 36 75.68 75.68 NUM crl-25015 237 37 percent percent NOUN crl-25015 237 38 , , PUNCT crl-25015 237 39 respectively respectively ADV crl-25015 237 40 . . PUNCT crl-25015 238 1 further far ADV crl-25015 238 2 , , PUNCT crl-25015 238 3 it it PRON crl-25015 238 4 is be AUX crl-25015 238 5 worth worth ADJ crl-25015 238 6 noting note VERB crl-25015 238 7 that that SCONJ crl-25015 238 8 the the DET crl-25015 238 9 results result NOUN crl-25015 238 10 also also ADV crl-25015 238 11 demonstrated demonstrate VERB crl-25015 238 12 that that SCONJ crl-25015 238 13 the the DET crl-25015 238 14 modeling modeling NOUN crl-25015 238 15 processes process NOUN crl-25015 238 16 were be AUX crl-25015 238 17 able able ADJ crl-25015 238 18 to to PART crl-25015 238 19 , , PUNCT crl-25015 238 20 on on ADP crl-25015 238 21 average average ADJ crl-25015 238 22 , , PUNCT crl-25015 238 23 produce produce VERB crl-25015 238 24 equally equally ADV crl-25015 238 25 robust robust ADJ crl-25015 238 26 predictions prediction NOUN crl-25015 238 27 for for ADP crl-25015 238 28 vrs vrs PROPN crl-25015 238 29 inquiries inquiry NOUN crl-25015 238 30 representing represent VERB crl-25015 238 31 notably notably ADV crl-25015 238 32 different different ADJ crl-25015 238 33 types type NOUN crl-25015 238 34 of of ADP crl-25015 238 35 library library NOUN crl-25015 238 36 patrons patron NOUN crl-25015 238 37 ’ ' PUNCT crl-25015 238 38 inquiries inquiry NOUN crl-25015 238 39 . . PUNCT crl-25015 239 1 comparisons comparison NOUN crl-25015 239 2 between between ADP crl-25015 239 3 the the DET crl-25015 239 4 definition definition NOUN crl-25015 239 5 and and CCONJ crl-25015 239 6 scope scope NOUN crl-25015 239 7 of of ADP crl-25015 239 8 any any DET crl-25015 239 9 two two NUM crl-25015 239 10 tag tag NOUN crl-25015 239 11 labels label NOUN crl-25015 239 12 reveals reveal VERB crl-25015 239 13 distinctions distinction NOUN crl-25015 239 14 in in ADP crl-25015 239 15 types type NOUN crl-25015 239 16 of of ADP crl-25015 239 17 patron patron NOUN crl-25015 239 18 inquiries inquiry NOUN crl-25015 239 19 characterized characterize VERB crl-25015 239 20 and and CCONJ crl-25015 239 21 detected detect VERB crl-25015 239 22 in in ADP crl-25015 239 23 individual individual ADJ crl-25015 239 24 vrs vrs PROPN crl-25015 239 25 transcripts transcript NOUN crl-25015 239 26 . . PUNCT crl-25015 240 1 despite despite SCONJ crl-25015 240 2 these these DET crl-25015 240 3 distinctions distinction NOUN crl-25015 240 4 , , PUNCT crl-25015 240 5 the the DET crl-25015 240 6 average average ADJ crl-25015 240 7 classification classification NOUN crl-25015 240 8 accuracy accuracy NOUN crl-25015 240 9 across across ADP crl-25015 240 10 many many ADJ crl-25015 240 11 of of ADP crl-25015 240 12 the the DET crl-25015 240 13 tag tag NOUN crl-25015 240 14 subsets subset NOUN crl-25015 240 15 are be AUX crl-25015 240 16 comparable comparable ADJ crl-25015 240 17 . . PUNCT crl-25015 241 1 in in ADP crl-25015 241 2 just just ADV crl-25015 241 3 one one NUM crl-25015 241 4 example example NOUN crl-25015 241 5 drawn draw VERB crl-25015 241 6 from from ADP crl-25015 241 7 the the DET crl-25015 241 8 testing testing NOUN crl-25015 241 9 results result NOUN crl-25015 241 10 , , PUNCT crl-25015 241 11 the the DET crl-25015 241 12 average average ADJ crl-25015 241 13 accuracy accuracy NOUN crl-25015 241 14 score score NOUN crl-25015 241 15 associated associate VERB crl-25015 241 16 with with ADP crl-25015 241 17 “ " PUNCT crl-25015 241 18 tagarticles tagarticle NOUN crl-25015 241 19 ” " PUNCT crl-25015 241 20 and and CCONJ crl-25015 241 21 “ " PUNCT crl-25015 241 22 tagknownitemarticle tagknownitemarticle NOUN crl-25015 241 23 ” " PUNCT crl-25015 241 24 subsets subset NOUN crl-25015 241 25 of of ADP crl-25015 241 26 the the DET crl-25015 241 27 data datum NOUN crl-25015 241 28 were be AUX crl-25015 241 29 nearly nearly ADV crl-25015 241 30 the the DET crl-25015 241 31 same same ADJ crl-25015 241 32 ( ( PUNCT crl-25015 241 33 accuracy accuracy NOUN crl-25015 242 1 ~69 ~69 NUM crl-25015 242 2 % % NOUN crl-25015 242 3 ) ) PUNCT crl-25015 243 1 . . PUNCT crl-25015 244 1 the the DET crl-25015 244 2 tag tag NOUN crl-25015 244 3 label label NOUN crl-25015 244 4 for for ADP crl-25015 244 5 the the DET crl-25015 244 6 former former ADJ crl-25015 244 7 was be AUX crl-25015 244 8 intended intend VERB crl-25015 244 9 to to PART crl-25015 244 10 identify identify VERB crl-25015 244 11 vrs vrs PROPN crl-25015 244 12 transcripts transcript NOUN crl-25015 244 13 in in ADP crl-25015 244 14 which which PRON crl-25015 244 15 the the DET crl-25015 244 16 patron patron NOUN crl-25015 244 17 was be AUX crl-25015 244 18 expressing express VERB crl-25015 244 19 an an DET crl-25015 244 20 open open ADV crl-25015 244 21 - - PUNCT crl-25015 244 22 ended ended ADJ crl-25015 244 23 inquiry inquiry NOUN crl-25015 244 24 regarding regard VERB crl-25015 244 25 how how SCONJ crl-25015 244 26 to to PART crl-25015 244 27 find find VERB crl-25015 244 28 and and CCONJ crl-25015 244 29 access access PROPN crl-25015 244 30 journal journal NOUN crl-25015 244 31 articles article NOUN crl-25015 244 32 , , PUNCT crl-25015 244 33 while while SCONJ crl-25015 244 34 the the DET crl-25015 244 35 latter latter ADJ crl-25015 244 36 represented represent VERB crl-25015 244 37 transcripts transcript NOUN crl-25015 244 38 in in ADP crl-25015 244 39 which which PRON crl-25015 244 40 the the DET crl-25015 244 41 patron patron NOUN crl-25015 244 42 expressed express VERB crl-25015 244 43 the the DET crl-25015 244 44 need need NOUN crl-25015 244 45 for for ADP crl-25015 244 46 support support NOUN crl-25015 244 47 in in ADP crl-25015 244 48 accessing access VERB crl-25015 244 49 a a DET crl-25015 244 50 specific specific ADJ crl-25015 244 51 article article NOUN crl-25015 244 52 that that PRON crl-25015 244 53 was be AUX crl-25015 244 54 already already ADV crl-25015 244 55 known know VERB crl-25015 244 56 to to ADP crl-25015 244 57 them they PRON crl-25015 244 58 . . PUNCT crl-25015 245 1 limitations limitation NOUN crl-25015 245 2 and and CCONJ crl-25015 245 3 future future ADJ crl-25015 245 4 directions direction NOUN crl-25015 245 5 the the DET crl-25015 245 6 scope scope NOUN crl-25015 245 7 of of ADP crl-25015 245 8 this this DET crl-25015 245 9 research research NOUN crl-25015 245 10 was be AUX crl-25015 245 11 limited limit VERB crl-25015 245 12 to to ADP crl-25015 245 13 the the DET crl-25015 245 14 exploration exploration NOUN crl-25015 245 15 and and CCONJ crl-25015 245 16 evaluation evaluation NOUN crl-25015 245 17 of of ADP crl-25015 245 18 predictive predictive ADJ crl-25015 245 19 modeling modeling NOUN crl-25015 245 20 processes process NOUN crl-25015 245 21 . . PUNCT crl-25015 246 1 this this DET crl-25015 246 2 research research NOUN crl-25015 246 3 was be AUX crl-25015 246 4 predicated predicate VERB crl-25015 246 5 on on ADP crl-25015 246 6 the the DET crl-25015 246 7 assumption assumption NOUN crl-25015 246 8 that that SCONJ crl-25015 246 9 this this DET crl-25015 246 10 modeling modeling NOUN crl-25015 246 11 approach approach NOUN crl-25015 246 12 could could AUX crl-25015 246 13 , , PUNCT crl-25015 246 14 hypothetically hypothetically ADV crl-25015 246 15 , , PUNCT crl-25015 246 16 be be AUX crl-25015 246 17 deployed deploy VERB crl-25015 246 18 by by ADP crl-25015 246 19 individual individual ADJ crl-25015 246 20 libraries library NOUN crl-25015 246 21 seeking seek VERB crl-25015 246 22 to to PART crl-25015 246 23 systematically systematically ADV crl-25015 246 24 triage triage VERB crl-25015 246 25 incoming incoming ADJ crl-25015 246 26 vrs vrs PROPN crl-25015 246 27 inquiries inquiry NOUN crl-25015 246 28 to to PART crl-25015 246 29 appropriate appropriate VERB crl-25015 246 30 library library NOUN crl-25015 246 31 staff staff NOUN crl-25015 246 32 operators operator NOUN crl-25015 246 33 . . PUNCT crl-25015 247 1 since since SCONJ crl-25015 247 2 this this DET crl-25015 247 3 modeling modeling NOUN crl-25015 247 4 approach approach NOUN crl-25015 247 5 has have AUX crl-25015 247 6 been be AUX crl-25015 247 7 shown show VERB crl-25015 247 8 to to PART crl-25015 247 9 be be AUX crl-25015 247 10 distinctly distinctly ADV crl-25015 247 11 better well ADJ crl-25015 247 12 than than ADP crl-25015 247 13 random random ADJ crl-25015 247 14 guessing guessing NOUN crl-25015 247 15 , , PUNCT crl-25015 247 16 it it PRON crl-25015 247 17 is be AUX crl-25015 247 18 clear clear ADJ crl-25015 247 19 that that SCONJ crl-25015 247 20 the the DET crl-25015 247 21 approach approach NOUN crl-25015 247 22 outlined outline VERB crl-25015 247 23 here here ADV crl-25015 247 24 can can AUX crl-25015 247 25 provide provide VERB crl-25015 247 26 developers developer NOUN crl-25015 247 27 and and CCONJ crl-25015 247 28 librarians librarian NOUN crl-25015 247 29 with with ADP crl-25015 247 30 a a DET crl-25015 247 31 useful useful ADJ crl-25015 247 32 roadmap roadmap NOUN crl-25015 247 33 for for ADP crl-25015 247 34 implementing implement VERB crl-25015 247 35 and and CCONJ crl-25015 247 36 evaluating evaluate VERB crl-25015 247 37 their their PRON crl-25015 247 38 own own ADJ crl-25015 247 39 models model NOUN crl-25015 247 40 . . PUNCT crl-25015 248 1 however however ADV crl-25015 248 2 , , PUNCT crl-25015 248 3 it it PRON crl-25015 248 4 may may AUX crl-25015 248 5 be be AUX crl-25015 248 6 worth worth ADJ crl-25015 248 7 noting note VERB crl-25015 248 8 that that SCONJ crl-25015 248 9 the the DET crl-25015 248 10 implementation implementation NOUN crl-25015 248 11 of of ADP crl-25015 248 12 these these DET crl-25015 248 13 models model NOUN crl-25015 248 14 may may AUX crl-25015 248 15 be be AUX crl-25015 248 16 extremely extremely ADV crl-25015 248 17 challenging challenging ADJ crl-25015 248 18 . . PUNCT crl-25015 249 1 from from ADP crl-25015 249 2 a a DET crl-25015 249 3 technical technical ADJ crl-25015 249 4 standpoint standpoint NOUN crl-25015 249 5 , , PUNCT crl-25015 249 6 at at ADP crl-25015 249 7 the the DET crl-25015 249 8 time time NOUN crl-25015 249 9 of of ADP crl-25015 249 10 writing writing NOUN crl-25015 249 11 , , PUNCT crl-25015 249 12 none none NOUN crl-25015 249 13 of of ADP crl-25015 249 14 the the DET crl-25015 249 15 prominent prominent ADJ crl-25015 249 16 vrs vrs NOUN crl-25015 249 17 chat chat NOUN crl-25015 249 18 services service NOUN crl-25015 249 19 offered offer VERB crl-25015 249 20 by by ADP crl-25015 249 21 third third ADJ crl-25015 249 22 - - PUNCT crl-25015 249 23 party party NOUN crl-25015 249 24 software software NOUN crl-25015 249 25 developers developer NOUN crl-25015 249 26 allow allow VERB crl-25015 249 27 librarians librarian NOUN crl-25015 249 28 to to PART crl-25015 249 29 directly directly ADV crl-25015 249 30 integrate integrate VERB crl-25015 249 31 decision decision NOUN crl-25015 249 32 or or CCONJ crl-25015 249 33 triage triage NOUN crl-25015 249 34 models model NOUN crl-25015 249 35 into into ADP crl-25015 249 36 the the DET crl-25015 249 37 functional functional ADJ crl-25015 249 38 aspects aspect NOUN crl-25015 249 39 of of ADP crl-25015 249 40 their their PRON crl-25015 249 41 platforms platform NOUN crl-25015 249 42 . . PUNCT crl-25015 250 1 consequently consequently ADV crl-25015 250 2 , , PUNCT crl-25015 250 3 to to PART crl-25015 250 4 test test VERB crl-25015 250 5 any any PRON crl-25015 250 6 of of ADP crl-25015 250 7 the the DET crl-25015 250 8 proposed propose VERB crl-25015 250 9 modeling modeling NOUN crl-25015 250 10 processes process NOUN crl-25015 250 11 , , PUNCT crl-25015 250 12 librarians librarian NOUN crl-25015 250 13 and and CCONJ crl-25015 250 14 developers developer NOUN crl-25015 250 15 will will AUX crl-25015 250 16 face face VERB crl-25015 250 17 either either CCONJ crl-25015 250 18 distinct distinct ADJ crl-25015 250 19 engineering engineering NOUN crl-25015 250 20 or or CCONJ crl-25015 250 21 business business NOUN crl-25015 250 22 challenges challenge NOUN crl-25015 250 23 — — PUNCT crl-25015 250 24 or or CCONJ crl-25015 250 25 both both CCONJ crl-25015 250 26 — — PUNCT crl-25015 250 27 just just ADV crl-25015 250 28 to to PART crl-25015 250 29 implement implement VERB crl-25015 250 30 a a DET crl-25015 250 31 model model NOUN crl-25015 250 32 in in ADP crl-25015 250 33 a a DET crl-25015 250 34 live live ADJ crl-25015 250 35 situation situation NOUN crl-25015 250 36 . . PUNCT crl-25015 251 1 for for ADP crl-25015 251 2 most most ADJ crl-25015 251 3 libraries library NOUN crl-25015 251 4 , , PUNCT crl-25015 251 5 this this PRON crl-25015 251 6 will will AUX crl-25015 251 7 likely likely ADV crl-25015 251 8 represent represent VERB crl-25015 251 9 a a DET crl-25015 251 10 prohibitive prohibitive ADJ crl-25015 251 11 barrier barrier NOUN crl-25015 251 12 to to ADP crl-25015 251 13 further further ADJ crl-25015 251 14 testing testing NOUN crl-25015 251 15 , , PUNCT crl-25015 251 16 experimentation experimentation NOUN crl-25015 251 17 , , PUNCT crl-25015 251 18 and and CCONJ crl-25015 251 19 , , PUNCT crl-25015 251 20 ultimately ultimately ADV crl-25015 251 21 , , PUNCT crl-25015 251 22 improvements improvement NOUN crl-25015 251 23 to to ADP crl-25015 251 24 library library NOUN crl-25015 251 25 services service NOUN crl-25015 251 26 . . PUNCT crl-25015 252 1 independent independent ADJ crl-25015 252 2 of of ADP crl-25015 252 3 the the DET crl-25015 252 4 technical technical ADJ crl-25015 252 5 challenges challenge NOUN crl-25015 252 6 associated associate VERB crl-25015 252 7 with with ADP crl-25015 252 8 implementing implement VERB crl-25015 252 9 a a DET crl-25015 252 10 predictive predictive ADJ crl-25015 252 11 model model NOUN crl-25015 252 12 in in ADP crl-25015 252 13 the the DET crl-25015 252 14 context context NOUN crl-25015 252 15 of of ADP crl-25015 252 16 vrs vrs PROPN crl-25015 252 17 services service NOUN crl-25015 252 18 , , PUNCT crl-25015 252 19 many many ADJ crl-25015 252 20 aspects aspect NOUN crl-25015 252 21 of of ADP crl-25015 252 22 this this DET crl-25015 252 23 research research NOUN crl-25015 252 24 need need VERB crl-25015 252 25 to to PART crl-25015 252 26 be be AUX crl-25015 252 27 investigated investigate VERB crl-25015 252 28 and and CCONJ crl-25015 252 29 modified modify VERB crl-25015 252 30 locally locally ADV crl-25015 252 31 if if SCONJ crl-25015 252 32 other other ADJ crl-25015 252 33 libraries library NOUN crl-25015 252 34 intend intend VERB crl-25015 252 35 to to PART crl-25015 252 36 develop develop VERB crl-25015 252 37 , , PUNCT crl-25015 252 38 test test NOUN crl-25015 252 39 , , PUNCT crl-25015 252 40 and and CCONJ crl-25015 252 41 deploy deploy VERB crl-25015 252 42 their their PRON crl-25015 252 43 own own ADJ crl-25015 252 44 models model NOUN crl-25015 252 45 . . PUNCT crl-25015 253 1 in in ADP crl-25015 253 2 this this DET crl-25015 253 3 research research NOUN crl-25015 253 4 , , PUNCT crl-25015 253 5 the the DET crl-25015 253 6 authors author NOUN crl-25015 253 7 experimented experiment VERB crl-25015 253 8 with with ADP crl-25015 253 9 a a DET crl-25015 253 10 wide wide ADJ crl-25015 253 11 variety variety NOUN crl-25015 253 12 of of ADP crl-25015 253 13 modeling modeling NOUN crl-25015 253 14 parameters parameter NOUN crl-25015 253 15 , , PUNCT crl-25015 253 16 but but CCONJ crl-25015 253 17 libraries library NOUN crl-25015 253 18 wishing wish VERB crl-25015 253 19 to to PART crl-25015 253 20 use use VERB crl-25015 253 21 this this DET crl-25015 253 22 technology technology NOUN crl-25015 253 23 will will AUX crl-25015 253 24 need need VERB crl-25015 253 25 to to PART crl-25015 253 26 seriously seriously ADV crl-25015 253 27 consider consider VERB crl-25015 253 28 how how SCONJ crl-25015 253 29 to to PART crl-25015 253 30 select select VERB crl-25015 253 31 and and CCONJ crl-25015 253 32 implement implement VERB crl-25015 253 33 particular particular ADJ crl-25015 253 34 modeling modeling NOUN crl-25015 253 35 parameters parameter NOUN crl-25015 253 36 . . PUNCT crl-25015 254 1 for for ADP crl-25015 254 2 example example NOUN crl-25015 254 3 , , PUNCT crl-25015 254 4 the the DET crl-25015 254 5 tag tag NOUN crl-25015 254 6 parameter parameter NOUN crl-25015 254 7 in in ADP crl-25015 254 8 these these DET crl-25015 254 9 modeling modeling NOUN crl-25015 254 10 processes process NOUN crl-25015 254 11 was be AUX crl-25015 254 12 characterized characterize VERB crl-25015 254 13 by by ADP crl-25015 254 14 idiosyncratic idiosyncratic ADJ crl-25015 254 15 and and CCONJ crl-25015 254 16 subjective subjective ADJ crl-25015 254 17 labels label NOUN crl-25015 254 18 that that PRON crl-25015 254 19 are be AUX crl-25015 254 20 largely largely ADV crl-25015 254 21 only only ADV crl-25015 254 22 relevant relevant ADJ crl-25015 254 23 to to ADP crl-25015 254 24 the the DET crl-25015 254 25 characteristics characteristic NOUN crl-25015 254 26 of of ADP crl-25015 254 27 vrs vrs PROPN crl-25015 254 28 transcripts transcript NOUN crl-25015 254 29 at at ADP crl-25015 254 30 ksul ksul PROPN crl-25015 254 31 . . PUNCT crl-25015 255 1 further far ADV crl-25015 255 2 , , PUNCT crl-25015 255 3 selecting select VERB crl-25015 255 4 appropriate appropriate ADJ crl-25015 255 5 trunc trunc NOUN crl-25015 255 6 , , PUNCT crl-25015 255 7 dict dict ADJ crl-25015 255 8 , , PUNCT crl-25015 255 9 d2v d2v VERB crl-25015 255 10 , , PUNCT crl-25015 255 11 and and CCONJ crl-25015 255 12 read read VERB crl-25015 255 13 modeling modeling NOUN crl-25015 255 14 using use VERB crl-25015 255 15 machine machine NOUN crl-25015 255 16 learning learning NOUN crl-25015 255 17 to to PART crl-25015 255 18 predict predict VERB crl-25015 255 19 chat chat VERB crl-25015 255 20 difficulty difficulty NOUN crl-25015 255 21 699 699 NUM crl-25015 255 22 parameters parameter NOUN crl-25015 255 23 is be AUX crl-25015 255 24 highly highly ADV crl-25015 255 25 contingent contingent ADJ crl-25015 255 26 upon upon SCONJ crl-25015 255 27 the the DET crl-25015 255 28 characteristics characteristic NOUN crl-25015 255 29 of of ADP crl-25015 255 30 local local ADJ crl-25015 255 31 data datum NOUN crl-25015 255 32 and and CCONJ crl-25015 255 33 library library NOUN crl-25015 255 34 managers manager NOUN crl-25015 255 35 ’ ’ PART crl-25015 255 36 service service NOUN crl-25015 255 37 objectives objective NOUN crl-25015 255 38 . . PUNCT crl-25015 256 1 for for ADP crl-25015 256 2 many many ADJ crl-25015 256 3 of of ADP crl-25015 256 4 these these DET crl-25015 256 5 decisions decision NOUN crl-25015 256 6 , , PUNCT crl-25015 256 7 there there PRON crl-25015 256 8 are be VERB crl-25015 256 9 no no DET crl-25015 256 10 generalizable generalizable ADJ crl-25015 256 11 “ " PUNCT crl-25015 256 12 right right ADJ crl-25015 256 13 ” " PUNCT crl-25015 256 14 or or CCONJ crl-25015 256 15 “ " PUNCT crl-25015 256 16 wrong wrong ADJ crl-25015 256 17 ” " PUNCT crl-25015 256 18 answers answer NOUN crl-25015 256 19 , , PUNCT crl-25015 256 20 just just ADV crl-25015 256 21 modeling model VERB crl-25015 256 22 decisions decision NOUN crl-25015 256 23 that that PRON crl-25015 256 24 reflect reflect VERB crl-25015 256 25 the the DET crl-25015 256 26 local local ADJ crl-25015 256 27 needs need NOUN crl-25015 256 28 of of ADP crl-25015 256 29 individual individual ADJ crl-25015 256 30 libraries library NOUN crl-25015 256 31 . . PUNCT crl-25015 257 1 making make VERB crl-25015 257 2 these these DET crl-25015 257 3 decisions decision NOUN crl-25015 257 4 may may AUX crl-25015 257 5 present present VERB crl-25015 257 6 some some DET crl-25015 257 7 librarians librarian NOUN crl-25015 257 8 with with ADP crl-25015 257 9 a a DET crl-25015 257 10 steep steep ADJ crl-25015 257 11 burden burden NOUN crl-25015 257 12 with with ADP crl-25015 257 13 respect respect NOUN crl-25015 257 14 to to ADP crl-25015 257 15 the the DET crl-25015 257 16 combination combination NOUN crl-25015 257 17 of of ADP crl-25015 257 18 technical technical ADJ crl-25015 257 19 , , PUNCT crl-25015 257 20 analytic analytic ADJ crl-25015 257 21 , , PUNCT crl-25015 257 22 and and CCONJ crl-25015 257 23 strategic strategic ADJ crl-25015 257 24 planning planning NOUN crl-25015 257 25 skills skill NOUN crl-25015 257 26 necessary necessary ADJ crl-25015 257 27 to to PART crl-25015 257 28 evaluate evaluate VERB crl-25015 257 29 modeling modeling NOUN crl-25015 257 30 parameters parameter NOUN crl-25015 257 31 and and CCONJ crl-25015 257 32 performance performance NOUN crl-25015 257 33 . . PUNCT crl-25015 258 1 this this DET crl-25015 258 2 research research NOUN crl-25015 258 3 design design NOUN crl-25015 258 4 centered center VERB crl-25015 258 5 around around ADP crl-25015 258 6 testing test VERB crl-25015 258 7 a a DET crl-25015 258 8 myriad myriad NOUN crl-25015 258 9 of of ADP crl-25015 258 10 models model NOUN crl-25015 258 11 using use VERB crl-25015 258 12 many many ADJ crl-25015 258 13 combinations combination NOUN crl-25015 258 14 of of ADP crl-25015 258 15 modeling modeling NOUN crl-25015 258 16 parameters parameter NOUN crl-25015 258 17 . . PUNCT crl-25015 259 1 consequently consequently ADV crl-25015 259 2 , , PUNCT crl-25015 259 3 to to PART crl-25015 259 4 run run VERB crl-25015 259 5 the the DET crl-25015 259 6 analyses analysis NOUN crl-25015 259 7 in in ADP crl-25015 259 8 a a DET crl-25015 259 9 reasonable reasonable ADJ crl-25015 259 10 period period NOUN crl-25015 259 11 of of ADP crl-25015 259 12 time time NOUN crl-25015 259 13 , , PUNCT crl-25015 259 14 a a DET crl-25015 259 15 variety variety NOUN crl-25015 259 16 of of ADP crl-25015 259 17 decisions decision NOUN crl-25015 259 18 were be AUX crl-25015 259 19 consciously consciously ADV crl-25015 259 20 made make VERB crl-25015 259 21 that that PRON crl-25015 259 22 resulted result VERB crl-25015 259 23 in in ADP crl-25015 259 24 faster fast ADJ crl-25015 259 25 processing processing NOUN crl-25015 259 26 , , PUNCT crl-25015 259 27 fitting fitting ADJ crl-25015 259 28 , , PUNCT crl-25015 259 29 and and CCONJ crl-25015 259 30 evaluation evaluation NOUN crl-25015 259 31 of of ADP crl-25015 259 32 models model NOUN crl-25015 259 33 at at ADP crl-25015 259 34 the the DET crl-25015 259 35 expense expense NOUN crl-25015 259 36 of of ADP crl-25015 259 37 the the DET crl-25015 259 38 overall overall ADJ crl-25015 259 39 predictive predictive ADJ crl-25015 259 40 power power NOUN crl-25015 259 41 of of ADP crl-25015 259 42 each each DET crl-25015 259 43 modeling modeling NOUN crl-25015 259 44 process process NOUN crl-25015 259 45 . . PUNCT crl-25015 260 1 the the DET crl-25015 260 2 options option NOUN crl-25015 260 3 associated associate VERB crl-25015 260 4 with with ADP crl-25015 260 5 nearly nearly ADV crl-25015 260 6 every every PRON crl-25015 260 7 step step NOUN crl-25015 260 8 of of ADP crl-25015 260 9 the the DET crl-25015 260 10 modeling modeling NOUN crl-25015 260 11 process process NOUN crl-25015 260 12 were be AUX crl-25015 260 13 , , PUNCT crl-25015 260 14 in in ADP crl-25015 260 15 effect effect NOUN crl-25015 260 16 , , PUNCT crl-25015 260 17 arbitrarily arbitrarily ADV crl-25015 260 18 chosen choose VERB crl-25015 260 19 . . PUNCT crl-25015 261 1 this this PRON crl-25015 261 2 provided provide VERB crl-25015 261 3 useful useful ADJ crl-25015 261 4 experimental experimental ADJ crl-25015 261 5 information information NOUN crl-25015 261 6 and and CCONJ crl-25015 261 7 comparisons comparison NOUN crl-25015 261 8 , , PUNCT crl-25015 261 9 but but CCONJ crl-25015 261 10 not not PART crl-25015 261 11 necessarily necessarily ADV crl-25015 261 12 the the DET crl-25015 261 13 best good ADJ crl-25015 261 14 possible possible ADJ crl-25015 261 15 individual individual ADJ crl-25015 261 16 model model NOUN crl-25015 261 17 . . PUNCT crl-25015 262 1 additionally additionally ADV crl-25015 262 2 , , PUNCT crl-25015 262 3 when when SCONJ crl-25015 262 4 training train VERB crl-25015 262 5 the the DET crl-25015 262 6 documentembedding documentembedding NOUN crl-25015 262 7 model model NOUN crl-25015 262 8 within within ADP crl-25015 262 9 the the DET crl-25015 262 10 overall overall ADJ crl-25015 262 11 modeling modeling NOUN crl-25015 262 12 process process NOUN crl-25015 262 13 ( ( PUNCT crl-25015 262 14 d2v d2v NOUN crl-25015 262 15 ) ) PUNCT crl-25015 262 16 , , PUNCT crl-25015 262 17 the the DET crl-25015 262 18 fitting fitting NOUN crl-25015 262 19 - - PUNCT crl-25015 262 20 step step NOUN crl-25015 262 21 was be AUX crl-25015 262 22 limited limit VERB crl-25015 262 23 to to ADP crl-25015 262 24 100 100 NUM crl-25015 262 25 iterations iteration NOUN crl-25015 262 26 . . PUNCT crl-25015 263 1 the the DET crl-25015 263 2 same same ADJ crl-25015 263 3 limit limit NOUN crl-25015 263 4 was be AUX crl-25015 263 5 also also ADV crl-25015 263 6 imposed impose VERB crl-25015 263 7 on on ADP crl-25015 263 8 the the DET crl-25015 263 9 number number NOUN crl-25015 263 10 of of ADP crl-25015 263 11 training training NOUN crl-25015 263 12 iterations iteration NOUN crl-25015 263 13 for for ADP crl-25015 263 14 the the DET crl-25015 263 15 neural neural ADJ crl-25015 263 16 network network NOUN crl-25015 263 17 classifier classifier NOUN crl-25015 263 18 at at ADP crl-25015 263 19 the the DET crl-25015 263 20 final final ADJ crl-25015 263 21 stage stage NOUN crl-25015 263 22 of of ADP crl-25015 263 23 the the DET crl-25015 263 24 modeling modeling NOUN crl-25015 263 25 process process NOUN crl-25015 263 26 . . PUNCT crl-25015 264 1 the the DET crl-25015 264 2 consequences consequence NOUN crl-25015 264 3 of of ADP crl-25015 264 4 these these DET crl-25015 264 5 decisions decision NOUN crl-25015 264 6 resulted result VERB crl-25015 264 7 in in ADP crl-25015 264 8 the the DET crl-25015 264 9 slowest slow ADJ crl-25015 264 10 model model NOUN crl-25015 264 11 processing processing NOUN crl-25015 264 12 time time NOUN crl-25015 264 13 for for ADP crl-25015 264 14 any any DET crl-25015 264 15 individual individual ADJ crl-25015 264 16 model model NOUN crl-25015 264 17 being be AUX crl-25015 264 18 approximately approximately ADV crl-25015 264 19 130 130 NUM crl-25015 264 20 seconds second NOUN crl-25015 264 21 . . PUNCT crl-25015 265 1 further far ADV crl-25015 265 2 , , PUNCT crl-25015 265 3 the the DET crl-25015 265 4 maximum maximum ADJ crl-25015 265 5 auc auc NOUN crl-25015 265 6 scores score NOUN crl-25015 265 7 across across ADP crl-25015 265 8 all all DET crl-25015 265 9 models model NOUN crl-25015 265 10 with with ADP crl-25015 265 11 respect respect NOUN crl-25015 265 12 to to ADP crl-25015 265 13 the the DET crl-25015 265 14 training training NOUN crl-25015 265 15 and and CCONJ crl-25015 265 16 testing testing NOUN crl-25015 265 17 subsets subset NOUN crl-25015 265 18 of of ADP crl-25015 265 19 the the DET crl-25015 265 20 data datum NOUN crl-25015 265 21 was be AUX crl-25015 265 22 0.8247 0.8247 NUM crl-25015 265 23 and and CCONJ crl-25015 265 24 0.7174 0.7174 NUM crl-25015 265 25 , , PUNCT crl-25015 265 26 respectively respectively ADV crl-25015 265 27 . . PUNCT crl-25015 266 1 while while SCONJ crl-25015 266 2 these these DET crl-25015 266 3 models model NOUN crl-25015 266 4 are be AUX crl-25015 266 5 significantly significantly ADV crl-25015 266 6 better well ADJ crl-25015 266 7 than than ADP crl-25015 266 8 random random ADJ crl-25015 266 9 ( ( PUNCT crl-25015 266 10 auc auc NOUN crl-25015 266 11 = = SYM crl-25015 266 12 0.5 0.5 NUM crl-25015 266 13 ) ) PUNCT crl-25015 266 14 , , PUNCT crl-25015 266 15 these these DET crl-25015 266 16 scores score NOUN crl-25015 266 17 represent represent VERB crl-25015 266 18 the the DET crl-25015 266 19 extremes extreme NOUN crl-25015 266 20 , , PUNCT crl-25015 266 21 and and CCONJ crl-25015 266 22 it it PRON crl-25015 266 23 can can AUX crl-25015 266 24 be be AUX crl-25015 266 25 assumed assume VERB crl-25015 266 26 that that SCONJ crl-25015 266 27 models model NOUN crl-25015 266 28 with with ADP crl-25015 266 29 significantly significantly ADV crl-25015 266 30 better well ADJ crl-25015 266 31 and and CCONJ crl-25015 266 32 more more ADV crl-25015 266 33 robust robust ADJ crl-25015 266 34 auc auc NOUN crl-25015 266 35 scores score NOUN crl-25015 266 36 can can AUX crl-25015 266 37 be be AUX crl-25015 266 38 developed develop VERB crl-25015 266 39 with with ADP crl-25015 266 40 additional additional ADJ crl-25015 266 41 model model NOUN crl-25015 266 42 tuning tuning NOUN crl-25015 266 43 . . PUNCT crl-25015 267 1 to to PART crl-25015 267 2 improve improve VERB crl-25015 267 3 upon upon SCONJ crl-25015 267 4 the the DET crl-25015 267 5 model model NOUN crl-25015 267 6 designs design NOUN crl-25015 267 7 that that PRON crl-25015 267 8 were be AUX crl-25015 267 9 tested test VERB crl-25015 267 10 , , PUNCT crl-25015 267 11 future future ADJ crl-25015 267 12 development development NOUN crl-25015 267 13 will will AUX crl-25015 267 14 need need VERB crl-25015 267 15 to to PART crl-25015 267 16 be be AUX crl-25015 267 17 focused focus VERB crl-25015 267 18 on on ADP crl-25015 267 19 fine fine ADJ crl-25015 267 20 tuning tune VERB crl-25015 267 21 many many ADJ crl-25015 267 22 individual individual ADJ crl-25015 267 23 modeling modeling NOUN crl-25015 267 24 parameters parameter NOUN crl-25015 267 25 that that PRON crl-25015 267 26 are be AUX crl-25015 267 27 embedded embed VERB crl-25015 267 28 through through ADP crl-25015 267 29 the the DET crl-25015 267 30 modeling modeling NOUN crl-25015 267 31 process process NOUN crl-25015 267 32 . . PUNCT crl-25015 268 1 the the DET crl-25015 268 2 stages stage NOUN crl-25015 268 3 of of ADP crl-25015 268 4 the the DET crl-25015 268 5 process process NOUN crl-25015 268 6 where where SCONJ crl-25015 268 7 models model NOUN crl-25015 268 8 require require VERB crl-25015 268 9 fitting fitting ADJ crl-25015 268 10 ( ( PUNCT crl-25015 268 11 such such ADJ crl-25015 268 12 as as ADP crl-25015 268 13 documentembedding documentembedding NOUN crl-25015 268 14 and and CCONJ crl-25015 268 15 classifier classifier NOUN crl-25015 268 16 models model NOUN crl-25015 268 17 ) ) PUNCT crl-25015 268 18 will will AUX crl-25015 268 19 require require VERB crl-25015 268 20 significantly significantly ADV crl-25015 268 21 more more ADJ crl-25015 268 22 training training NOUN crl-25015 268 23 iterations iteration NOUN crl-25015 268 24 for for ADP crl-25015 268 25 the the DET crl-25015 268 26 models model NOUN crl-25015 268 27 to to PART crl-25015 268 28 converge converge VERB crl-25015 268 29 on on ADP crl-25015 268 30 optimal optimal ADJ crl-25015 268 31 formulations formulation NOUN crl-25015 268 32 . . PUNCT crl-25015 269 1 further far ADV crl-25015 269 2 , , PUNCT crl-25015 269 3 all all DET crl-25015 269 4 the the DET crl-25015 269 5 processes process NOUN crl-25015 269 6 described describe VERB crl-25015 269 7 and and CCONJ crl-25015 269 8 evaluated evaluate VERB crl-25015 269 9 in in ADP crl-25015 269 10 this this DET crl-25015 269 11 research research NOUN crl-25015 269 12 are be AUX crl-25015 269 13 highly highly ADV crl-25015 269 14 sensitive sensitive ADJ crl-25015 269 15 to to ADP crl-25015 269 16 the the DET crl-25015 269 17 size size NOUN crl-25015 269 18 of of ADP crl-25015 269 19 the the DET crl-25015 269 20 underlying underlie VERB crl-25015 269 21 dataset dataset NOUN crl-25015 269 22 . . PUNCT crl-25015 270 1 with with ADP crl-25015 270 2 increasingly increasingly ADV crl-25015 270 3 large large ADJ crl-25015 270 4 numbers number NOUN crl-25015 270 5 of of ADP crl-25015 270 6 vrs vrs PROPN crl-25015 270 7 transcripts transcript NOUN crl-25015 270 8 and and CCONJ crl-25015 270 9 fully fully ADV crl-25015 270 10 labeled label VERB crl-25015 270 11 samples sample NOUN crl-25015 270 12 , , PUNCT crl-25015 270 13 future future ADJ crl-25015 270 14 research research NOUN crl-25015 270 15 and and CCONJ crl-25015 270 16 development development NOUN crl-25015 270 17 should should AUX crl-25015 270 18 be be AUX crl-25015 270 19 able able ADJ crl-25015 270 20 to to PART crl-25015 270 21 greatly greatly ADV crl-25015 270 22 advance advance VERB crl-25015 270 23 the the DET crl-25015 270 24 predictive predictive ADJ crl-25015 270 25 power power NOUN crl-25015 270 26 of of ADP crl-25015 270 27 these these DET crl-25015 270 28 types type NOUN crl-25015 270 29 of of ADP crl-25015 270 30 models model NOUN crl-25015 270 31 . . PUNCT crl-25015 271 1 the the DET crl-25015 271 2 last last ADJ crl-25015 271 3 significant significant ADJ crl-25015 271 4 limitation limitation NOUN crl-25015 271 5 that that PRON crl-25015 271 6 must must AUX crl-25015 271 7 be be AUX crl-25015 271 8 noted note VERB crl-25015 271 9 is be AUX crl-25015 271 10 that that SCONJ crl-25015 271 11 no no DET crl-25015 271 12 model model NOUN crl-25015 271 13 , , PUNCT crl-25015 271 14 no no ADV crl-25015 271 15 matter matter ADV crl-25015 271 16 how how SCONJ crl-25015 271 17 finely finely ADV crl-25015 271 18 tuned tune VERB crl-25015 271 19 , , PUNCT crl-25015 271 20 will will AUX crl-25015 271 21 be be AUX crl-25015 271 22 perfect perfect ADJ crl-25015 271 23 . . PUNCT crl-25015 272 1 even even ADV crl-25015 272 2 if if SCONJ crl-25015 272 3 a a DET crl-25015 272 4 library library NOUN crl-25015 272 5 service service NOUN crl-25015 272 6 manager manager NOUN crl-25015 272 7 can can AUX crl-25015 272 8 develop develop VERB crl-25015 272 9 and and CCONJ crl-25015 272 10 implement implement VERB crl-25015 272 11 a a DET crl-25015 272 12 robust robust ADJ crl-25015 272 13 predictive predictive ADJ crl-25015 272 14 model model NOUN crl-25015 272 15 for for ADP crl-25015 272 16 the the DET crl-25015 272 17 purposes purpose NOUN crl-25015 272 18 of of ADP crl-25015 272 19 automatically automatically ADV crl-25015 272 20 triaging triage VERB crl-25015 272 21 incoming incoming ADJ crl-25015 272 22 vrs vrs NOUN crl-25015 272 23 transcripts transcript NOUN crl-25015 272 24 , , PUNCT crl-25015 272 25 there there PRON crl-25015 272 26 will will AUX crl-25015 272 27 always always ADV crl-25015 272 28 be be AUX crl-25015 272 29 a a DET crl-25015 272 30 certain certain ADJ crl-25015 272 31 degree degree NOUN crl-25015 272 32 of of ADP crl-25015 272 33 error error NOUN crl-25015 272 34 . . PUNCT crl-25015 273 1 as as ADP crl-25015 273 2 such such ADJ crl-25015 273 3 , , PUNCT crl-25015 273 4 vrs vrs PROPN crl-25015 273 5 operators operator NOUN crl-25015 273 6 will will AUX crl-25015 273 7 still still ADV crl-25015 273 8 need need VERB crl-25015 273 9 to to PART crl-25015 273 10 be be AUX crl-25015 273 11 able able ADJ crl-25015 273 12 to to PART crl-25015 273 13 ask ask VERB crl-25015 273 14 open open ADV crl-25015 273 15 - - PUNCT crl-25015 273 16 ended end VERB crl-25015 273 17 questions question NOUN crl-25015 273 18 , , PUNCT crl-25015 273 19 conduct conduct NOUN crl-25015 273 20 reference reference NOUN crl-25015 273 21 interviews interview NOUN crl-25015 273 22 , , PUNCT crl-25015 273 23 and and CCONJ crl-25015 273 24 refer refer VERB crl-25015 273 25 vrs vrs PROPN crl-25015 273 26 users user NOUN crl-25015 273 27 to to PART crl-25015 273 28 appropriate appropriate VERB crl-25015 273 29 vrs vrs NOUN crl-25015 273 30 operators operator NOUN crl-25015 273 31 when when SCONJ crl-25015 273 32 appropriate appropriate ADJ crl-25015 273 33 . . PUNCT crl-25015 274 1 conclusion conclusion NOUN crl-25015 274 2 based base VERB crl-25015 274 3 upon upon SCONJ crl-25015 274 4 the the DET crl-25015 274 5 results result NOUN crl-25015 274 6 manifest manifest ADJ crl-25015 274 7 from from ADP crl-25015 274 8 this this DET crl-25015 274 9 research research NOUN crl-25015 274 10 project project NOUN crl-25015 274 11 , , PUNCT crl-25015 274 12 it it PRON crl-25015 274 13 is be AUX crl-25015 274 14 clear clear ADJ crl-25015 274 15 that that SCONJ crl-25015 274 16 the the DET crl-25015 274 17 application application NOUN crl-25015 274 18 of of ADP crl-25015 274 19 machine machine NOUN crl-25015 274 20 learning learning PROPN crl-25015 274 21 , , PUNCT crl-25015 274 22 nlp nlp PROPN crl-25015 274 23 , , PUNCT crl-25015 274 24 and and CCONJ crl-25015 274 25 advanced advanced ADJ crl-25015 274 26 modeling modeling NOUN crl-25015 274 27 techniques technique NOUN crl-25015 274 28 in in ADP crl-25015 274 29 the the DET crl-25015 274 30 context context NOUN crl-25015 274 31 of of ADP crl-25015 274 32 academic academic ADJ crl-25015 274 33 library library NOUN crl-25015 274 34 services service NOUN crl-25015 274 35 represents represent VERB crl-25015 274 36 a a DET crl-25015 274 37 rich rich ADJ crl-25015 274 38 and and CCONJ crl-25015 274 39 unique unique ADJ crl-25015 274 40 avenue avenue NOUN crl-25015 274 41 for for SCONJ crl-25015 274 42 librarians librarian NOUN crl-25015 274 43 to to PART crl-25015 274 44 improve improve VERB crl-25015 274 45 and and CCONJ crl-25015 274 46 build build VERB crl-25015 274 47 upon upon SCONJ crl-25015 274 48 existing exist VERB crl-25015 274 49 services service NOUN crl-25015 274 50 . . PUNCT crl-25015 275 1 if if SCONJ crl-25015 275 2 implemented implement VERB crl-25015 275 3 , , PUNCT crl-25015 275 4 these these DET crl-25015 275 5 models model NOUN crl-25015 275 6 represent represent VERB crl-25015 275 7 a a DET crl-25015 275 8 robust robust ADJ crl-25015 275 9 method method NOUN crl-25015 275 10 for for ADP crl-25015 275 11 saving save VERB crl-25015 275 12 costs cost NOUN crl-25015 275 13 by by ADP crl-25015 275 14 automatically automatically ADV crl-25015 275 15 and and CCONJ crl-25015 275 16 instantly instantly ADV crl-25015 275 17 routing route VERB crl-25015 275 18 virtual virtual ADJ crl-25015 275 19 patron patron NOUN crl-25015 275 20 inquiries inquiry NOUN crl-25015 275 21 to to PART crl-25015 275 22 appropriate appropriate VERB crl-25015 275 23 library library NOUN crl-25015 275 24 employees employee NOUN crl-25015 275 25 . . PUNCT crl-25015 276 1 this this PRON crl-25015 276 2 can can AUX crl-25015 276 3 directly directly ADV crl-25015 276 4 translate translate VERB crl-25015 276 5 to to ADP crl-25015 276 6 a a DET crl-25015 276 7 more more ADV crl-25015 276 8 efficient efficient ADJ crl-25015 276 9 use use NOUN crl-25015 276 10 of of ADP crl-25015 276 11 librarians librarian NOUN crl-25015 276 12 ’ ’ PART crl-25015 276 13 time time NOUN crl-25015 276 14 and and CCONJ crl-25015 276 15 labor labor NOUN crl-25015 276 16 . . PUNCT crl-25015 277 1 additionally additionally ADV crl-25015 277 2 , , PUNCT crl-25015 277 3 this this PRON crl-25015 277 4 represents represent VERB crl-25015 277 5 an an DET crl-25015 277 6 opportunity opportunity NOUN crl-25015 277 7 to to PART crl-25015 277 8 ensure ensure VERB crl-25015 277 9 that that SCONJ crl-25015 277 10 patrons patron NOUN crl-25015 277 11 experience experience VERB crl-25015 277 12 a a DET crl-25015 277 13 higher high ADJ crl-25015 277 14 quality quality NOUN crl-25015 277 15 of of ADP crl-25015 277 16 service service NOUN crl-25015 277 17 700 700 NUM crl-25015 277 18 college college PROPN crl-25015 277 19 & & CCONJ crl-25015 277 20 research research PROPN crl-25015 277 21 libraries library NOUN crl-25015 277 22 july july PROPN crl-25015 277 23 2021 2021 NUM crl-25015 277 24 by by ADP crl-25015 277 25 being be AUX crl-25015 277 26 connected connect VERB crl-25015 277 27 directly directly ADV crl-25015 277 28 to to ADP crl-25015 277 29 library library NOUN crl-25015 277 30 employees employee NOUN crl-25015 277 31 who who PRON crl-25015 277 32 are be AUX crl-25015 277 33 best well ADV crl-25015 277 34 suited suited ADJ crl-25015 277 35 to to ADP crl-25015 277 36 their their PRON crl-25015 277 37 needs need NOUN crl-25015 277 38 . . PUNCT crl-25015 278 1 although although SCONJ crl-25015 278 2 the the DET crl-25015 278 3 research research NOUN crl-25015 278 4 conducted conduct VERB crl-25015 278 5 in in ADP crl-25015 278 6 this this DET crl-25015 278 7 study study NOUN crl-25015 278 8 was be AUX crl-25015 278 9 focused focus VERB crl-25015 278 10 on on ADP crl-25015 278 11 the the DET crl-25015 278 12 relative relative ADJ crl-25015 278 13 difficulty difficulty NOUN crl-25015 278 14 of of ADP crl-25015 278 15 patron patron NOUN crl-25015 278 16 inquiries inquiry NOUN crl-25015 278 17 , , PUNCT crl-25015 278 18 these these DET crl-25015 278 19 models model NOUN crl-25015 278 20 can can AUX crl-25015 278 21 be be AUX crl-25015 278 22 easily easily ADV crl-25015 278 23 retooled retool VERB crl-25015 278 24 and and CCONJ crl-25015 278 25 generalized generalize VERB crl-25015 278 26 to to PART crl-25015 278 27 triage triage VERB crl-25015 278 28 incoming incoming ADJ crl-25015 278 29 virtual virtual ADJ crl-25015 278 30 reference reference NOUN crl-25015 278 31 inquiries inquiry NOUN crl-25015 278 32 using use VERB crl-25015 278 33 any any DET crl-25015 278 34 other other ADJ crl-25015 278 35 categorical categorical ADJ crl-25015 278 36 variables variable NOUN crl-25015 278 37 for for ADP crl-25015 278 38 which which PRON crl-25015 278 39 there there PRON crl-25015 278 40 is be VERB crl-25015 278 41 sufficient sufficient ADJ crl-25015 278 42 data datum NOUN crl-25015 278 43 . . PUNCT crl-25015 279 1 while while SCONJ crl-25015 279 2 there there PRON crl-25015 279 3 is be VERB crl-25015 279 4 much much ADV crl-25015 279 5 more more ADJ crl-25015 279 6 research research NOUN crl-25015 279 7 and and CCONJ crl-25015 279 8 development development NOUN crl-25015 279 9 that that PRON crl-25015 279 10 can can AUX crl-25015 279 11 and and CCONJ crl-25015 279 12 should should AUX crl-25015 279 13 be be AUX crl-25015 279 14 done do VERB crl-25015 279 15 in in ADP crl-25015 279 16 this this DET crl-25015 279 17 area area NOUN crl-25015 279 18 , , PUNCT crl-25015 279 19 the the DET crl-25015 279 20 use use NOUN crl-25015 279 21 of of ADP crl-25015 279 22 these these DET crl-25015 279 23 advanced advanced ADJ crl-25015 279 24 techniques technique NOUN crl-25015 279 25 represents represent VERB crl-25015 279 26 a a DET crl-25015 279 27 golden golden ADJ crl-25015 279 28 opportunity opportunity NOUN crl-25015 279 29 for for SCONJ crl-25015 279 30 libraries library NOUN crl-25015 279 31 to to PART crl-25015 279 32 improve improve VERB crl-25015 279 33 upon upon SCONJ crl-25015 279 34 and and CCONJ crl-25015 279 35 transform transform VERB crl-25015 279 36 their their PRON crl-25015 279 37 services service NOUN crl-25015 279 38 . . PUNCT crl-25015 280 1 using use VERB crl-25015 280 2 machine machine NOUN crl-25015 280 3 learning learning NOUN crl-25015 280 4 to to PART crl-25015 280 5 predict predict VERB crl-25015 280 6 chat chat VERB crl-25015 280 7 difficulty difficulty NOUN crl-25015 280 8 701 701 NUM crl-25015 280 9 appendix appendix PROPN crl-25015 280 10 tag tag NOUN crl-25015 280 11 pattern pattern NOUN crl-25015 280 12 definition definition NOUN crl-25015 280 13 tags tag NOUN crl-25015 280 14 / / SYM crl-25015 280 15 labels label NOUN crl-25015 280 16 attributed attribute VERB crl-25015 280 17 to to ADP crl-25015 280 18 individual individual ADJ crl-25015 280 19 samples sample NOUN crl-25015 280 20 substring substre VERB crl-25015 280 21 or or CCONJ crl-25015 280 22 regex regex VERB crl-25015 280 23 patterns pattern NOUN crl-25015 280 24 to to PART crl-25015 280 25 be be AUX crl-25015 280 26 detected detect VERB crl-25015 280 27 in in ADP crl-25015 280 28 raw raw ADJ crl-25015 280 29 user user NOUN crl-25015 280 30 - - PUNCT crl-25015 280 31 supplied supply VERB crl-25015 280 32 texts text NOUN crl-25015 280 33 subjective subjective ADJ crl-25015 280 34 definition definition NOUN crl-25015 280 35 of of ADP crl-25015 280 36 the the DET crl-25015 280 37 broad broad ADJ crl-25015 280 38 concepts concept NOUN crl-25015 280 39 associated associate VERB crl-25015 280 40 with with ADP crl-25015 280 41 core core NOUN crl-25015 280 42 - - PUNCT crl-25015 280 43 classes class NOUN crl-25015 280 44 and and CCONJ crl-25015 280 45 sub sub NOUN crl-25015 280 46 - - NOUN crl-25015 280 47 classes class NOUN crl-25015 280 48 in in ADP crl-25015 280 49 relation relation NOUN crl-25015 280 50 to to PART crl-25015 280 51 vrs vrs VERB crl-25015 280 52 interactions interaction NOUN crl-25015 280 53 tagprinting tagprinte VERB crl-25015 280 54 color color NOUN crl-25015 280 55 print print NOUN crl-25015 280 56 interactions interaction NOUN crl-25015 280 57 related relate VERB crl-25015 280 58 to to ADP crl-25015 280 59 using use VERB crl-25015 280 60 library library NOUN crl-25015 280 61 printers printer NOUN crl-25015 280 62 and and CCONJ crl-25015 280 63 printing print VERB crl-25015 280 64 services.colored services.colore VERB crl-25015 280 65 print print NOUN crl-25015 280 66 print print NOUN crl-25015 280 67 in in ADP crl-25015 280 68 color color NOUN crl-25015 280 69 print print NOUN crl-25015 280 70 something something PRON crl-25015 280 71 in in ADP crl-25015 280 72 color color NOUN crl-25015 280 73 \win \win PROPN crl-25015 280 74 color\w color\w PROPN crl-25015 280 75 cat cat NOUN crl-25015 280 76 cash cash NOUN crl-25015 280 77 printer printer NOUN crl-25015 280 78 ( ( PUNCT crl-25015 280 79 ? ? PUNCT crl-25015 280 80 < < X crl-25015 280 81 ! ! PUNCT crl-25015 280 82 3d\s)\bprinting 3d\s)\bprinting NUM crl-25015 280 83 double.{1}sided double.{1}sided ADJ crl-25015 280 84 catcash catcash NOUN crl-25015 280 85 cat cat NOUN crl-25015 280 86 cash cash NOUN crl-25015 280 87 add add VERB crl-25015 280 88 money money NOUN crl-25015 280 89 tagscanner tagscanner NOUN crl-25015 280 90 scanner scanner NOUN crl-25015 280 91 interactions interaction NOUN crl-25015 280 92 related relate VERB crl-25015 280 93 to to ADP crl-25015 280 94 using use VERB crl-25015 280 95 library library NOUN crl-25015 280 96 scanners.\wscan\w scanners.\wscan\w PROPN crl-25015 280 97 taghours taghour NOUN crl-25015 280 98 open open VERB crl-25015 280 99 24/7 24/7 NUM crl-25015 280 100 interactions interaction NOUN crl-25015 280 101 in in ADP crl-25015 280 102 which which PRON crl-25015 280 103 users user NOUN crl-25015 280 104 inquire inquire VERB crl-25015 280 105 about about ADP crl-25015 280 106 library library NOUN crl-25015 280 107 building building NOUN crl-25015 280 108 and and CCONJ crl-25015 280 109 service service NOUN crl-25015 280 110 hours.what hours.what DET crl-25015 280 111 time time NOUN crl-25015 280 112 the the DET crl-25015 280 113 hours hour NOUN crl-25015 280 114 opens{0,1}\w opens{0,1}\w PROPN crl-25015 280 115 will will AUX crl-25015 280 116 be be AUX crl-25015 280 117 open open ADJ crl-25015 280 118 summer summer NOUN crl-25015 280 119 hours hour NOUN crl-25015 280 120 library library NOUN crl-25015 280 121 hours hour NOUN crl-25015 280 122 taglibmathphys taglibmathphy NOUN crl-25015 280 123 re.escape(‘math re.escape(‘math SPACE crl-25015 280 124 / / SYM crl-25015 280 125 physics physics NOUN crl-25015 280 126 library library NOUN crl-25015 280 127 ’ ' PUNCT crl-25015 280 128 ) ) PUNCT crl-25015 280 129 interactions interaction NOUN crl-25015 280 130 in in ADP crl-25015 280 131 which which PRON crl-25015 280 132 the the DET crl-25015 280 133 math math PROPN crl-25015 280 134 & & CCONJ crl-25015 280 135 physics physics PROPN crl-25015 280 136 library library NOUN crl-25015 280 137 is be AUX crl-25015 280 138 explicitly explicitly ADV crl-25015 280 139 identified.re.escape(‘math identified.re.escape(‘math NOUN crl-25015 280 140 and and CCONJ crl-25015 280 141 physics physics NOUN crl-25015 280 142 library library NOUN crl-25015 280 143 ’ ' PUNCT crl-25015 280 144 ) ) PUNCT crl-25015 280 145 re.escape(‘math re.escape(‘math NOUN crl-25015 281 1 physic physic ADJ crl-25015 281 2 library library NOUN crl-25015 281 3 ’ ' PUNCT crl-25015 281 4 ) ) PUNCT crl-25015 281 5 re.escape(‘math re.escape(‘math NOUN crl-25015 281 6 / / SYM crl-25015 281 7 physics physics NOUN crl-25015 281 8 library library NOUN crl-25015 281 9 ’ ' PUNCT crl-25015 281 10 ) ) PUNCT crl-25015 281 11 re.escape(‘maths re.escape(‘math NOUN crl-25015 281 12 / / SYM crl-25015 281 13 phys phy NOUN crl-25015 281 14 library library NOUN crl-25015 281 15 ’ ' PUNCT crl-25015 281 16 ) ) PUNCT crl-25015 281 17 re.escape(‘math re.escape(‘math PROPN crl-25015 281 18 & & CCONJ crl-25015 281 19 phys phy NOUN crl-25015 281 20 library library PROPN crl-25015 281 21 ’ ' PUNCT crl-25015 281 22 ) ) PUNCT crl-25015 281 23 re.escape(‘math re.escape(‘math NOUN crl-25015 281 24 phys phy NOUN crl-25015 281 25 library library NOUN crl-25015 281 26 ’ ' PUNCT crl-25015 281 27 ) ) PUNCT crl-25015 281 28 taglibweigel taglibweigel PROPN crl-25015 281 29 weigel weigel PROPN crl-25015 281 30 interactions interaction NOUN crl-25015 281 31 in in ADP crl-25015 281 32 which which PRON crl-25015 281 33 the the DET crl-25015 281 34 weigel weigel NOUN crl-25015 281 35 architecture architecture NOUN crl-25015 281 36 library library NOUN crl-25015 281 37 is be AUX crl-25015 281 38 explicitly explicitly ADV crl-25015 281 39 identified.wiegel identified.wiegel NOUN crl-25015 281 40 taglibvetmed taglibvetmed ADJ crl-25015 281 41 vet vet PROPN crl-25015 281 42 med med ADJ crl-25015 281 43 interactions interaction NOUN crl-25015 281 44 in in ADP crl-25015 281 45 which which PRON crl-25015 281 46 the the DET crl-25015 281 47 veterinary veterinary ADJ crl-25015 281 48 medicine medicine NOUN crl-25015 281 49 library library NOUN crl-25015 281 50 is be AUX crl-25015 281 51 explicitly explicitly ADV crl-25015 281 52 mentioned.vetmed mentioned.vetme VERB crl-25015 281 53 taglibhale taglibhale PROPN crl-25015 281 54 hale hale PROPN crl-25015 281 55 library library PROPN crl-25015 281 56 interactions interaction NOUN crl-25015 281 57 in in ADP crl-25015 281 58 which which PRON crl-25015 281 59 hale hale ADJ crl-25015 281 60 library library NOUN crl-25015 281 61 is be AUX crl-25015 281 62 explicitly explicitly ADV crl-25015 281 63 identified.(?