He Said, She Said: Gender in the ACL Anthology

Dan Jurafsky

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Gender and Technology in Education scientometrics and bibliometrics research Career Development and Diversity

Abstract

Studies of gender balance in academic computer science are typically based on statistics on enrollment and graduation. Going beyond these coarse measures of gender participation, we conduct a fine-grained study of gender in the field of Natural Language Processing. We use topic models (Latent Dirichlet Allocation) to explore the research topics of men and women in the ACL Anthology Network. We find that women publish more on dialog, discourse, and sentiment, while men publish more than women in parsing, formal semantics, and finite state models. To conduct our study we labeled the gender of authors in the ACL Anthology mostly manually, creating a useful resource for other gender studies. Finally, our study of historical patterns in female participation shows that the proportion of women authors in computational linguistics has been continuously increasing, with approximately a 50 % increase in the three decades since 1980.

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References

2010Why so Few Women in Science, Technology, Engineering and Mathematics 2008Studying the history of ideas using topic models 2006Gender Differences in Publication Output: Towards an Unbiased Metric of Research Performance 2008The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics 2013The ACL anthology network corpus 1991Why are there so few female computer scientists 2007Women in Computer-Related Majors: A Critical Synthesis of Research and Theory From 1994 to 2005 2009The ACL Anthology Network corpus

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