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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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Globally Normalized Transition-Based Neural Networks

Jun 08, 2016
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins


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