id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_hesivpqavbgo7bnwu55o7xw4hu	Ellie Pavlick	An Empirical Analysis of Formality in Online Communication	2016	14	.pdf	application/pdf	8402	821	58	used to develop a statistical model for predicting formality, which is evaluated under different feature settings and genres. A speaker's level of formality can reveal information about their familiarity with a person, opinions of a topic, and goals Our results provide new evidence in support of theories of linguistic coordination, underlining the importance of formality (2011) provided a preliminary investigation of annotating formality on an ordinal scale and released a dataset of sentence-level Figure 1: Distribution of sentence-level formality scores by genre. Table 1: Examples of formal (positive) and informal (negative) sentences in different genres. of sentence-level formality annotations, which Figure 1 shows the distribution of mean formality scores for the sentences in each of our genres. The remaining features (e.g. length, POS tags, case, punctuation, formal/informal lexicons, and subjectivity/emotiveness) largely subsume the features a formality score to each post in our data using the Answers model in Section 4. Generation of formal and informal sentences.	./cache/work_hesivpqavbgo7bnwu55o7xw4hu.pdf	./txt/work_hesivpqavbgo7bnwu55o7xw4hu.txt