Photo of Chandler. I am a Ph.D. candidate researching how gender is understood in natural language processing (NLP) and how that understanding impacts society. I also read in NLP ethics and politics and on the construction of identity on social media; generally, I am interested in humanistic perspectives of sociotechnical systems. My previous research focused on topic modeling; I have a master’s degree in computer science from Johns Hopkins University and a bachelor’s in mathematics from Harvey Mudd College. My pronouns are she/her (or they/them).


On Measuring Social Biases in Sentence Encoders
Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, and Rachel Rudinger
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, 2019
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Streaming Word Embeddings with the Space-Saving Algorithm
Chandler May, Kevin Duh, Benjamin Van Durme, and Ashwin Lall
Preprint, 2017
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Social Bias in Elicited Natural Language Inferences
Rachel Rudinger, Chandler May, and Benjamin Van Durme
Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, 2017
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An Analysis of Lemmatization on Topic Models of Morphologically Rich Language
Chandler May, Ryan Cotterell, and Benjamin Van Durme
Preprint, 2016

Topic Identification and Discovery on Text and Speech
Chandler May, Francis Ferraro, Alan McCree, Jonathan Wintrode, Daniel Garcia-Romero, and Benjamin Van Durme
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Particle Filter Rejuvenation and Latent Dirichlet Allocation
Chandler May, Alex Clemmer, and Benjamin Van Durme
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


Code for specific research projects is listed above; here is a short list of software I’ve contributed to that isn’t directly associated with a research project.