Viewpoint: Why women avoid computer science
Communications of the ACM
Why Are There So Few Female Computer Scientists?
Why Are There So Few Female Computer Scientists?
The Journal of Machine Learning Research
Studying the history of ideas using topic models
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
The ACL Anthology Network corpus
NLPIR4DL '09 Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries
Where are the women computer science students?
Journal of Computing Sciences in Colleges
Towards a computational history of the ACL: 1980-2008
ACL '12 Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries
ACL '12 Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries
A search engine approach to estimating temporal changes in gender orientation of first names
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Deterministic coreference resolution based on entity-centric, precision-ranked rules
Computational Linguistics
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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.