Stylometric Analysis of Scientific Articles
By Shane Bergsma, Matt Post, David Yarowsky. 2012
121 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Dong Nguyen
- Yulia Tsvetkov
- A. Seza Doğruöz
- Carolyn Penstein Rosé
- Mark Dredze
- Dolf Trieschnigg
- Franciska de Jong
- Alex Lamb
Citations in the corpus
- The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task (2017, background): “…such as age (Pennebaker and Stone, 2003; Argamon et al., 2003; Schler et al., 2006; Rosenthal and McKeown, 2011; Nguyen et al., 2011), gender (Argamon et al., 2003; Schler et al., 2006; Bamman et al., 2014), and native language (Koppel et al., 2005; Tsur and Rappoport, 2007; Bergsma et al., 2012).”
- "How Old Do You Think I Am?" A Study of Language and Age in Twitter (2013, background): “…and age have been done on a wide range of resources, including telephone conversations (Garera and Yarowsky 2009), blogs (Sarawgi, Gajulapalli, and Choi 2011), forum posts (Nguyen, Smith, and Ros´e 2011) and scientific articles (Bergsma, Post, and Yarowsky 2012; Sarawgi, Gajulapalli, and Choi 2011).”
- Story Cloze Task: UW NLP System (2017, neutral): “(Argamon et al., 2003; Schler et al., 2006; Bamman et al., 2014), and native language (Koppel et al., 2005; Tsur and Rappoport, 2007; Bergsma et al., 2012).”
- Native Language Cognate Effects on Second Language Lexical Choice (2018, background): “…from L1 facilitate various computational tasks, including automatic detection of highly competent non-native writers (Tomokiyo and Jones, 2001; Bergsma et al., 2012), identification of the mother tongue of English learners (Koppel et al., 2005; Tetreault et al., 2013; Tsvetkov et al., 2013;…”
- Characterizing the Language of Online Communities and its Relation to Community Reception (2016, methodology): “For modeling style, a popular approach has been combining the selected words with part-of-speech (POS) tags to construct models for genre detection (Stamatatos et al., 2000; Feldman et al., 2009; Bergsma et al., 2012) and data selection (Iyer and Ostendorf, 1999; Axelrod, 2014).”
- The ACL Anthology Network Corpus as a Resource for NLP-based Bibliometrics (2013, unknown): “, 2011), analyzing research dynamics (Gupta & Manning, 2011), stylometric analysis of scientific articles (Bergsma et al., 2012), publication ranking (Jiang et al.”
- Separating Fact from Fear: Tracking Flu Infections on Twitter (2013, methodology): “Motivated by Bergsma et al. (2012), we complement 3-grams with additional features that capture longer spans of text and generalize using part of speech tags.”
- Computational Sociolinguistics: A Survey (2016, background): “Bergsma, Post, and Yarowsky (2012) experimented with three types of syntax features and found features based on single-level contextfree-grammar (CFG) rules (e.g., NP→ PRP) to be the most effective.”