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Learning Cross-Context Entity Representations from Text

Jan 11, 2020
Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski


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A Fast, Compact, Accurate Model for Language Identification of Codemixed Text

Oct 09, 2018
Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss

* EMNLP 2018 

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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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State-of-the-art Chinese Word Segmentation with Bi-LSTMs

Aug 24, 2018
Ji Ma, Kuzman Ganchev, David Weiss


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Adversarial Neural Networks for Cross-lingual Sequence Tagging

Aug 14, 2018
Heike Adel, Anton Bryl, David Weiss, Aliaksei Severyn


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Natural Language Processing with Small Feed-Forward Networks

Aug 01, 2017
Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan McDonald, Slav Petrov

* EMNLP 2017 short paper 

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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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Stack-propagation: Improved Representation Learning for Syntax

Jun 08, 2016
Yuan Zhang, David Weiss

* 10 pages 

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Structured Training for Neural Network Transition-Based Parsing

Jun 19, 2015
David Weiss, Chris Alberti, Michael Collins, Slav Petrov


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Structured Prediction Cascades

Aug 06, 2012
David Weiss, Benjamin Sapp, Ben Taskar

* 32 pages, in submission 

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