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Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

May 05, 2020
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

* ACL2020 

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Contextualized Representations Using Textual Encyclopedic Knowledge

Apr 24, 2020
Mandar Joshi, Kenton Lee, Yi Luan, Kristina Toutanova


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REALM: Retrieval-Augmented Language Model Pre-Training

Feb 10, 2020
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang


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Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Sep 25, 2019
Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

* Added comparison to concurrent work 

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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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Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation

Aug 23, 2019
Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova


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Zero-Shot Entity Linking by Reading Entity Descriptions

Jun 18, 2019
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee

* ACL 2019 

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Latent Retrieval for Weakly Supervised Open Domain Question Answering

Jun 06, 2019
Kenton Lee, Ming-Wei Chang, Kristina Toutanova

* Accepted to ACL 2019 

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BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

May 24, 2019
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova

* In NAACL 2019 

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Language Model Pre-training for Hierarchical Document Representations

Jan 26, 2019
Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin


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A BERT Baseline for the Natural Questions

Jan 24, 2019
Chris Alberti, Kenton Lee, Michael Collins


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Improving Span-based Question Answering Systems with Coarsely Labeled Data

Nov 05, 2018
Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur Parikh, Michael Collins, Kristina Toutanova


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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Oct 11, 2018
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

* 13 pages 

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Syntactic Scaffolds for Semantic Structures

Aug 30, 2018
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith

* Accepted at EMNLP 2018 

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Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling

Aug 13, 2018
Luheng He, Kenton Lee, Omer Levy, Luke Zettlemoyer

* 5 pages, ACL 2018 

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Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum

May 09, 2018
Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer

* ACL 2018 

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Higher-order Coreference Resolution with Coarse-to-fine Inference

Apr 15, 2018
Kenton Lee, Luheng He, Luke Zettlemoyer

* Accepted to NAACL 2018 

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Deep contextualized word representations

Mar 22, 2018
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer

* NAACL 2018. Originally posted to openreview 27 Oct 2017. v2 updated for NAACL camera ready 

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End-to-end Neural Coreference Resolution

Dec 15, 2017
Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer

* Accepted to EMNLP 2017 

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Recurrent Additive Networks

Jun 29, 2017
Kenton Lee, Omer Levy, Luke Zettlemoyer


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Learning Recurrent Span Representations for Extractive Question Answering

Mar 17, 2017
Kenton Lee, Shimi Salant, Tom Kwiatkowski, Ankur Parikh, Dipanjan Das, Jonathan Berant


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Global Neural CCG Parsing with Optimality Guarantees

Sep 24, 2016
Kenton Lee, Mike Lewis, Luke Zettlemoyer


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