David Weiss

David Weiss

My research focuses on improving machine learning for tough, practical applications that have difficult constraints. At Google my team works to scale ML for natural language processing.

Some of our notable projects are SyntaxNet and Parsey McParseface, and the Chrome Compact Language Detector, which runs on all devices.

Prior to Google: I completed my Ph.D in 2014 at the University of Pennsylvania with Ben Taskar, as part of the GRASP Lab. Previously, I was a research specialist at the Princeton Computational Memory Lab, and I graduated from Princeton University with a degree in Computer Science and a certificate in Neuroscience in 2007. My advisors were Dave Blei (CS) and Ken Norman (Psychology).

Fun fact: I was a member of Team Dinosaur Planet, Grand Prize Team, and The Ensemble, the greatest Netflix Prize wrecking crew ever created. Our team was written up in the New York Times.

Authored Publications
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    Google
Linguistically-Informed Self-Attention for Semantic Role Labeling
Emma Strubell
Pat Verga
Andrew McCallum
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (2018)
Natural Language Processing with Small Feed-Forward Networks
Jan A. Botha
Emily Pitler
Anton Bakalov
Alex Salcianu
Ryan Mcdonald
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Copenhagen, Denmark, 2879–2885
Improved Transition-Based Parsing and Tagging with Neural Networks
Greg Coppola
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP '15)
Preview
Structured Training for Neural Network Transition-Based Parsing
Proceedings of the 53th Annual Meeting of the Association for Computational Linguistics (ACL '15) (2015)
Preview