I am a fourth-year Computer Science Ph.D. student at Johns Hopkins University, advised by Dr. Benjamin Van Durme. I am researching fairness in natural language processing, focusing on the impacts of complex representations of gender. I previously worked on end-to-end topic modeling, relaxing common assumptions to facilitate expert and non-expert usage. 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 task-driven dictionary learning in a parallelized parameter search framework. In 2011 I earned my Bachelor of Science degree in mathematics from Harvey Mudd College, where I concentrated on applied mathematics and statistics.
Streaming Word Embeddings with the Space-Saving Algorithm
Chandler May, Kevin Duh, Benjamin Van Durme, and Ashwin Lall
(arXiv:1704.07463) – 2017.
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.
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 (EMNLP) – 2015, pp. 2377–2387.
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 (ACL) – 2014.
© Chandler May, 2017. All rights reserved.