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Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$


Mar 31, 2022
Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo


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QED: A Framework and Dataset for Explanations in Question Answering


Sep 08, 2020
Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins


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Measuring Domain Portability and ErrorPropagation in Biomedical QA


Sep 24, 2019
Stefan Hosein, Daniel Andor, Ryan McDonald


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Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension


Sep 12, 2019
Daniel Andor, Luheng He, Kenton Lee, Emily Pitler


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Synthetic QA Corpora Generation with Roundtrip Consistency


Jun 12, 2019
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins


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Linguistically-Informed Self-Attention for Semantic Role Labeling


Aug 28, 2018
Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum

* In Conference on Empirical Methods in Natural Language Processing (EMNLP). Brussels, Belgium. October 2018 

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Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings


May 21, 2018
Bernd Bohnet, Ryan McDonald, Goncalo Simoes, Daniel Andor, Emily Pitler, Joshua Maynez

* ACL 2018 

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SyntaxNet Models for the CoNLL 2017 Shared Task


Mar 15, 2017
Chris Alberti, Daniel Andor, Ivan Bogatyy, Michael Collins, Dan Gillick, Lingpeng Kong, Terry Koo, Ji Ma, Mark Omernick, Slav Petrov, Chayut Thanapirom, Zora Tung, David Weiss

* Tech report 

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DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks


Mar 13, 2017
Lingpeng Kong, Chris Alberti, Daniel Andor, Ivan Bogatyy, David Weiss

* 10 pages; Submitted for review to ACL2017 

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