Photo of Chandler I am a Computer Science Ph.D. student in the Center for Language and Speech Processing (CLSP) at Johns Hopkins University and advised by Benjamin Van Durme. I am studying the conceptualization of gender in natural language processing, applying feminist and queer theory to critique and try to reshape the dominant computational paradigm. I am also interested in artificial intelligence/machine learning ethics generally. I previously researched topic modeling, studying both applications and algorithms with a particular interest in the common assumptions and simplifications made in the academic literature. From the summer of 2011 through the summer of 2013 I worked at Pacific Northwest National Laboratory, where I applied natural language processing to social media and cyber data and implemented parallelized parameter search for task-driven dictionary learning. In 2011 I earned my Bachelor of Science degree in mathematics from Harvey Mudd College, where I concentrated on applied mathematics and statistics.

Selected Publications

Streaming Word Embeddings with the Space-Saving Algorithm
Chandler May, Kevin Duh, Benjamin Van Durme, and Ashwin Lall
(arXiv:1704.07463), 2017
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Social Bias in Elicited Natural Language Inference
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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Analysis of Morphology in Topic Modeling
Chandler May, Ryan Cotterell, and Benjamin Van Durme
(arXiv:1608.03995), 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.