quadgram

This is a table of type quadgram and their frequencies. Use it to search & browse the list to learn more about your study carrel.

quadgram frequency
h a p t372
a p t e372
p t e r372
c h a p372
artificial intelligence index report230
e n t s216
c o n t212
o f c o211
o n t e211
n t e n211
t e n t211
l e o f208
b l e o208
ta b l e208
f c o n208
e o f c208
s c h a204
v i e w173
t s c h169
e v i e165
r e v i164
i e w artificial163
n t s c163
r p r e163
w artificial intelligence index163
e r p r163
t e r p163
e w artificial intelligence163
p r e v163
at i o n124
p e n d93
e n d i92
n d i x91
p p e n91
a p p e90
archival discovery and delivery81
in the united states70
c at i o69
metadata into linked data69
linked data to improve68
into linked data to68
data to improve digital67
transforming metadata into linked67
to improve digital collection66
improve digital collection discoverability66
i o n a64
ai index report figure63
m e n t62
report c h a61
i c a l61
index report c h61
intelligence index report c58
the next generation of58
interoperability in research support57
next generation of metadata57
to the next generation55
social interoperability in research55
o n a l54
h n i c54
transitioning to the next54
the oclc research blog52
e s e a51
r e s e51
e a r c51
s e a r51
a r c h51
s a p p51
e c h n49
t e c h49
in proceedings of the49
and the university research49
e r f o48
r f o r48
c h n i48
n i c a48
campus partnerships and the48
l p e r48
a n c e48
o r m a48
the university research enterprise48
a l p e48
f o r m48
partnerships and the university48
c a l p48
p e r f48
r m a n48
m a n c48
at io n s48
p u b lic45
d i x artificial45
lic at io n45
t s a p45
u b lic at45
x artificial intelligence index45
b lic at io45
i x artificial intelligence45
n t s a45
n at i o44
i o n s43
e l o p43
v e l o43
d e v e43
neither satisfied nor dissatisfied43
l o p m43
o p m e43
e v e l43
p m e n43
org cdmld screenshots entity42
r c h d42
h d e v42
c h d e42
n u m b41
that is to say40
digital collection p coll40
g i e s40
r at e g39
t r at e39
at e g i39
s t r at39
e g i e39
org digital collection p38
collection p coll search38
p coll search searchterm38
view a larger image37
o l i c37
a larger image online37
l i c y37
p o l i37
i c at i36
png transforming metadata into35
i n a i35
l i c at35
as i have said35
c o n o33
on the other hand33
e d u c33
u c at i33
o n o m33
b er o f33
y a n d33
m b er o33
d u c at33
u m b er33
n o m y33
e c o n33
t o ta l32
i p o l31
a i p o31
at the same time31
t h e e30
lighting the way forum29
a n d n29
d n at i29
a l s t29
l s t r29
the lighting the way29
c y a n29
i c y a29
n d n at29
n a l s29
as well as the29
a i e d28
i e d u28
x x x x27
p u b l27
b l i c27
e e c o27
u b l i27
h e e c27
mode exact conn and27
mean std deviation variance26
e r v i26
std deviation variance count26
maximum mean std deviation26
field minimum maximum mean26
minimum maximum mean std26
o f a i25
y i n a25
e r s i25
d i v e25
t y i n25
page break page of25
i v e r25
v e r s25
s i t y25
r s i t25
i t y i25
o n i n23
s i o n23
end of the town22
the wikibase user interface22
n a l a21
it is important to21
in the case of21
w o rl d21
f w o rl21
org cdmld screenshots explorer21
e n t figure21
rl d t o21
o rl d t21
d t o ta21
a wide range of21
o f w o21
c o m p21
i s i o20
at the university of20
webinarattendee participant webinarregistrantdidnotattend total20
data field minimum maximum20
webinarregistrantdidnotattend no data field20
satisfied were you with20
were you with the20
no data field minimum20
how satisfied were you20
the number of ai20
field webinarattendee participant webinarregistrantdidnotattend20
you with the following20
v i s i20
deviation variance count webinarattendee20
of field webinarattendee participant20
who what when matrix19
t i o n19
can be used to19
at the end of19
in the line graph19
the linked data project19
o m p u19
of federal scientific collections19
nzyznjm mzyynzm mtfamtywotc ndyxntk18
m p u t18
o n s c18
mtfamtywotc ndyxntk na d18
d d el x18
el x esc publicationcoverpdf18
proceedings of the th18
f a b b18
otezmttbuzo nzyznjm mzyynzm mtfamtywotc18
ee c a c18
y zxjqywdlozm oda otezmttbuzo18
xxx enrichsource y zxjqywdlozm18
in the wikibase user18
a c f a18
c f a b18
ndyxntk na d d18
t e r v18
analyses of federal scientific18
zxjqywdlozm oda otezmttbuzo nzyznjm18
mzyynzm mtfamtywotc ndyxntk na18
oda otezmttbuzo nzyznjm mzyynzm18
na d d el18
enrichsource y zxjqywdlozm oda18
of research support services18
n s c h18
d el x esc18
c a c f18
nor dissatisfied somewhat dissatisfied17
i m ag e17
extremely satisfied somewhat satisfied17
t h i c17
number of ai journal17
dissatisfied somewhat dissatisfied extremely17
u t e r17
somewhat dissatisfied extremely dissatisfied17
e t h i17
satisfied nor dissatisfied somewhat17
r v i s17
ag e c h17
x esc publicationcoverpdf https17
e c h a17
satisfied neither satisfied nor17
somewhat satisfied neither satisfied17
economic analyses of federal17
transition to linked data17
p u t e17
satisfied somewhat satisfied neither17
as shown in figure16
the total number of16
break page of q16
archives and special collections16
neither agree nor disagree16
the office of research16
association for computational linguistics16
index report a i16
a l a i16
e n t a16
org research areas data16
the library of congress16
publications number of ai16
the transition to linked16
org research themes data15
l l e n15
intelligence index report n15
i o n i15
l e n g15
n t a p15
discovery and data mining15
in the training data15
e n g e15
i n t h15
h a l l15
a l l e15
a i j o15
in the given country15
in the context of15
n g e s15
of science and technology15
e s c h15
e s o f15
the end of the15
part of the town15
conference on knowledge discovery15
p h d s15
c h a l15
t a p p15
n a i c14
of research data management14
as i have observed14
stakeholders in research support14
university of notre dame14
on knowledge discovery and14
a i c o14
n i n g14
org cdmld screenshots cdm14
the rest of the14
exact conn and https14
of the association for14
l a n d14
h i g h14
knowledge discovery and data14
p p l i13
machine learning and deep13
a p p l13
to institutions in the13
national institute of standards13
f a i a13
dissatisfied extremely dissatisfied webinarattendee13
attributed to institutions in13
the share of ai13
p l i c13
is one of the13
institute of standards and13
i a p p13
a l a n13
oclc research library partnership13
one of our informants13
shutting up of houses13
acm sigkdd international conference13
sigkdd international conference on13
of standards and technology13
realities of research data13
institutions in the given13
a i a p13
l c h a13
h i c a13
ai index report a13
g e s o13
c a l c13
in archival discovery delivery13
m ag e c13
s o f a13
a l c h13
o neither satisfied nor13
intelligence index report chapter13
a i c h12
i a n d12
the city of london12
i e s c12
t i v i12
university of miami libraries12
international conference on knowledge12
i c h a12
u sa n d12
o u sa n12
v i t y12
gov sites default files12
of ai journal publications12
a n d r12
participant webinarregistrantdidnotattend total extremely12
n c e figure12
a i a n12
the oclc research library12
ac t i v12
lighting the way project12
t h o u12
io n s o12
of ai job postings12
h o u sa12
webinarregistrantdidnotattend total extremely satisfied12
i v i t12
of archival discovery and12
to archival discovery and12
the realities of research12
i c o n12
mode all conn and12
the lord mayor and12
on the other side12
embedded in the wikibase12
n d e r12
d u at e12
reposa mode exact conn11
that the plague was11
in research support services11
t m e n11
o v e r11
o f a ll11
for a given year11
close to each other11
to be able to11
field reposa mode exact11
one of the most11
number of ai conference11
agreements and code of11
n c e a11
n d r e11
d i x https11
the code of conduct11
community agreements and code11
a b r a11
the time of the11
i j o u11
learning and deep learning11
the association for computational10
relative ai skill penetration10
and code of conduct10
the united states by10
e n t i10
v e s t10
e n d e10
index report n u10
ea how satisfied were10
ai skill penetration rate10
i g h t10
the united states and10
in a variety of10
pdf ta b l10
engagement with the project10
o u rn al10
i s t r10
c o r p10
r a d u10
the average number of10
g h l i10
l a i s10
the ai index report10
report n u m10
mentions of ai in10
p o r at10
r p o r10
e s t m10
o r p o10
in natural language processing10
l i g h10
g i o n10
a linked data environment10
sa n d s10
n v e s10
sharing ta b l10
g r a d10
h l i g10
of the plague in10
d r e g10
o r at e10
usp sharing ta b10
i n v e10
of new ai phds10
intelligence index report a10
a d u at10
a i p at10
i g h l10
s t m e10
middle east north africa10
a i s t10
gov aba pcc taskgroup10
explorer view of a10
of the th acm10
the number of times10
as part of the10
e g i o10
j o u rn10
r e g i10
women in machine learning10
private investment in ai9
participants were asked to9
platform for engagement with9
the master of the9
ve ra g e9
n g u ag9
in the middle of9
the benefits generated by9
computer vision and pattern9
i n g s9
proceedings of the conference9
e ac t i9
around archival discovery and9
a ve ra g9
org metadata services contentdm9
a i p u9
denominator is the population9
l a n g9
a practical ai model9
a i p h9
j o b s9
c e a p9
of the city of9
times the global average9
anonymized who what when9
given a set of9
i think it was9
contentdm linked data pilot9
linked data pilot project9
org cdmld screenshots image9
ssi d b d9
at such a time9
in tens of millions9
of ai journal citations9
bcollection name ssi d9
r r at e9
o r t h9
deploy a practical ai9
e a p p9
the shutting up of9
i p u b9
al p u b9
i n n o9
on archival discovery and9
a time as this9
i p h d9
the denominator is the9
for engagement with the9
r v i e9
r at e ac9
rn al p u9
g u ag e9
what when matrix actions9
of the line graph9
s o n a9
shared regional national projects9
m b e r9
a given year to9
the performance of the9
universities around the world9
in the form of9
g e n d9
name ssi d b9
y a p p9
ed a i p9
u rn al p9
their investment in ai9
f bcollection name ssi9
intelligence and machine learning9
in the european union9
at e ac t9
conference on computer vision9
such a time as9
total number of ai9
penetration of ai skills9
a platform for engagement9
given year to obtain9
a n g u9
in per capita terms9
n fe re n8
ev ie w ed8
somewhat agree neither agree8
r e n c8
at the time of8
field physic mode all8
t p u b8
as well as a8
n t h o8
that end of the8
relative ai skills penetration8
t h a m8
o n f e8
n t e r8
u at e s8
empirical methods in natural8
the research library partnership8
d i x a8
v e r v8
in the past years8
agree somewhat agree neither8
ie w ed a8
a s o n8
innovation patents number of8
c o n fe8
the course of the8
on empirical methods in8
total count of published8
e r e n8
i p at en8
asked to spend minutes8
it was impossible to8
working group on scientific8
institute of museum and8
of private ai investment8
the beginning of september8
e r o f8
a n d c8
for the purposes of8
organize around shared opportunities8
e r i c8
neural information processing systems8
r t h a8
m e r i8
the research life cycle8
a large amount of8
a m e r8
number of ai faculty8
the public data https8
fe re n ce8
share of ai job8
conference publications number of8
related publications on arxiv8
w ed a i8
p at en t8
of the number of8
the project team and8
that it is not8
strongly agree somewhat agree8
n f e r8
p o st in8
n n o r8
we were able to8
science and technology policy8
interagency working group on8
s o n i8
the project and its8
r e a s8
ai index report by8
that teach students the8
r ev ie w8
collection field reposa mode8
to provide a platform8
can be applied to8
that can be used8
role or position at8
university of science and8
h a m e8
museum and library services8
build or deploy a8
nor disagree somewhat disagree8
as a result of8
e a s o8
in the parish of8
group on scientific collections8
the contentdm linked data8
o st in g8
somewhat disagree strongly disagree8
of museum and library8
the distemper upon them8
n o r t8
international federation of robotics8
to improve archival discovery8
access the public data8
benefits generated by federal8
the full text of8
conference on empirical methods8
r i c a8
count of published ai8
journal of academic librarianship8
metadata managers focus group8
agree neither agree nor8
o n fe re8
teach students the skills8
agree nor disagree somewhat8
n t h e8
journal publications number of8
disagree somewhat disagree strongly8
dead of the plague8
er o f p8
i x a i8
physic mode all conn8
u m b e8
all conn and order8
provide a platform for8
in terms of the8
died of the plague8
to participate in the8
or deploy a practical8
on computer vision and8
to build or deploy8
e n c e8
g h t s8
the number of mentions8
b p o st8
proceedings of the nd8
k k k k8
st in g s8
physic mode exact conn8
patents number of ai8
field physic mode exact8
c o n f8
i b r a8
the latter end of8
amount of private ai8
b e r o8
vision and pattern recognition8
coll search searchterm templana8
if they had been8
be seen in the8
reviewed ai publications in8
f e r e8
see the appendix for8
data visualization services in7
and the european union7
were then asked to7
the parish of st7
a subset of the7
report ta b l7
the number of papers7
dbpedia and wikimedia commons7
conn and order title7
focus group members have7
in the beginning of7
the people of london7
meeting of the association7
l o b a7
in support of the7
two or three days7
capita total count of7
as i said before7
c h r e7
g l o b7
can also be used7
rethinking model scaling for7
the given country in7
a n d p7
of the spotted fever7
as well as to7
oclc research library partners7
the use of ai7
conference on learning representations7
in the embedding space7
p o r t7
a significant increase in7
generated by federal collections7
the journal of academic7
should only be used7
for the use of7
as much as possible7
t e r h7
org ta b l7
from dbpedia and wikimedia7
same set of occupations7
as if they had7
skills necessary to build7
b r a c7
rr o r r7
the state of the7
ai and ml courses7
image from dbpedia and7
had the plague upon7
students the skills necessary7
it is difficult to7
contextual data and image7
in a dreadful manner7
o r r at7
only be used for7
the th of july7
e s i n7
the systems they rely7
the context of the7
in the number of7
structured data testing tool7
per capita total count7
in the parishes of7
a conceptual model of7
i n t e7
research library partners metadata7
of ai faculty departures7
in the course of7
federal departments and agencies7
intelligence or machine learning7
of advanced digital skills7
to organize around shared7
given country in per7
managing a v collections7
at e s i7
annual meeting of the7
the middle of the7
health and human services7
wikimedia commons embedded in7
and the number of7
methods in natural language7
scaling for convolutional neural7
state of the art7
d o lla rs7
country in per capita7
artificial intelligence or machine7
and machine learning in7
gone into the country7
data and image from7
the same set of7
for convolutional neural networks7
e r h i7
index report of respondents7
n ew a i7
s i n n7
c t i o7
of health and human7
the conference on empirical7
as well as those7
index report ta b7
in addition to the7
the communities they serve7
i do not remember7
for fear of the7
they were obliged to7
a great deal of7
e r i n7
we would like to7
intelligence index report ta7
systems they rely on7
new ai phds in7
and image from dbpedia7
outside the united states7
a shared data model7
overview o v e7
with an emphasis on7
o b a l7
of machine learning and7
r a c a7
and the communities they7
conference on artificial intelligence7
contentdm advanced website customization7
the skills necessary to7
and wikimedia commons embedded7
necessary to build or7
k i n g7
r h i g7
library partners metadata managers7
the united states in7
th international conference on7
i e s https7
proceedings of the ieee7
the violence of the7
commons embedded in the7
graduates in north america7
exact conn and order7
in the wikibase environment7
e g r a7
department of health and7
that part of the7
e rr o r7
year to obtain scaled7
the beginning of the7
model scaling for convolutional7
an entity in the7
in the digital humanities7
in a linked data7
to obtain scaled values7
r i n g7
of the conference on7
has the potential to6
national forum on archival6
participants noted that they6
satisfied are you with6
the nodes of the6
the line graph l6
what are your primary6
select all that apply6
strategy for artificial intelligence6
how the forum addressed6
to learn more about6
ai skills penetration rate6
the side of the6
of machine learning techniques6
rd e rr o6
n d c s6
department of the interior6
can be difficult to6
research analytics orcid adoption6
research hanging together blog6
metadata services contentdm advanced6
of ai conference publications6
one of our interviewees6
order asc cols stats6
a prodigious number of6
for the first time6
to a set of6
as i may say6
i n g c6
challenges in archival discovery6
be used for instances6
deviation variance count participant6
the weighted line graph6
to the best of6
for instances of the6
when the plague was6
er o f m6
matrix actions what when6
when matrix actions what6
and development journal publications6
d c s d6
north carolina state university6
it at io n6
associated with the los6
related to archival discovery6
ill io n s6
cc ur ac y6
ai index report c6
i c y m6
up and down the6
index report number of6
h t s c6
c y m a6
publications in the world6
the number of the6
the minnesota digital library6
gov funding pgm summ6
sort by rank sort6
of places depicted in6
when they came to6
ll p u b6
master of the house6
about the project and6
the plague was not6
r e p o6
by rank sort order6
length sort by rank6
conceptual model of campus6
he had the plague6
the university of illinois6
with respect to the6
with the los angeles6
page length sort by6
ti o n s6
research and development journal6
conference on machine learning6
o n a n6
we find that the6
international conference on learning6
n s o n6
importance in the global6
contract spending on ai6
the role of the6
learning and artificial intelligence6
sites default files ostp6
ce p u b6
such things as they6
machine learning and artificial6
of illinois at urbana6
sort order asc cols6
solutions and crowd sourcing6
received travel funding from6
research project academic articles6
t h n i6
g r e e6
h r e p6
you only look once6
w o rd e6
the embedding of the6
of generative machine learning6
instances of the type6
r e e g6
at major ai conferences6
to focus on the6
report a i c6
n t i n6
the parishes of st6
s d e g6
international conference on machine6
reasoning patterns for disambiguation6
d p o l6
challenges of ai applications6
it is to be6
org research publications oclcresearch6
work at current affiliation6
f t o ta6
e e g r6
o m y a6
s mentions of ai6
s o f u6
report a i j6
the use of the6
the forum addressed this6
c r e s6
number of ai patent6
the new york times6
services contentdm advanced website6
property should only be6
o f t o6
r n at i6
index report n e6
were asked to spend6
o c l c6
digital collection discoverability the6
the institute of museum6
aba pcc taskgroup pcc6
are you with how6
proceedings of the acm6
n c e s6
used for instances of6
in the linked data6
the share of new6
as well as their6
very close to each6
courses that teach students6
org cdmld screenshots field6
linked data value proposition6
in the last years6
n a rx iv6
underrepresented or marginalized populations6
during a transit strike6
l c r e6
are your primary duties6
campus stakeholders in research6
up of houses was6
they would have been6
e p o r6
m ill io n6
e r n at6
learning about the project6
around shared opportunities challenges6
in the pilot wikibase6
black or african american6
n s o f6
so much as to6
citations attributed to institutions6
f a ll p6
forum on archival discovery6
en t p u6
university of texas at6
re n ce p6
office of science and6
displayed in the wikibase6
org cdmld screenshots retriever6
wiml workshop at neurips6
a ll p u6
org leadership pages orcid6
code of conduct or6
your current employment status6
default files ostp memo6
files ostp memo scientific6
oclc research hanging together6
ai journal publications in6
at the other end6
the united states has6
ethical challenges of ai6
united states in the6
d e g r6
opportunities challenges in archival6
r c h r6
that they were not6
faculty affairs and governance6
services in academic libraries6
c l c r6
university of illinois at6
how satisfied are you6
without extra training data6
under a creative commons6
shared opportunities challenges in6
the bills of mortality6
e g r e6
with how the forum6
c s d e6
of the code of6
partners metadata managers focus6
one end of the6
at en t p6
in the given network6
the linked data value6
a k i n6
to the th of6
intelligence index report of6
i received travel funding6
of ai conference citations6
a creative commons attribution6
and the united states6
er o f a6
the nature of the6
of texas at austin6
image of a person6
forum addressed this goal6
asc cols stats https6
n d p o6
o n a rx6
n ce p u6
number of mentions of6
ostp memo scientific collxns6
over the last years6
in the time of6
will be able to6
build connections in archival6
c it at io6
with a focus on6
could be used to6
of all job postings6
in the weekly bill6
the los angeles dodgers6
us research project academic6
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