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Understanding Mention Detector-Linker Interaction for Neural Coreference Resolution

Sep 20, 2020
Zhaofeng Wu, Matt Gardner


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Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering

Jul 01, 2020
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant


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Obtaining Faithful Interpretations from Compositional Neural Networks

May 02, 2020
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner

* ACL 2020; first three authors contributed equally 

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TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions

May 01, 2020
Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth

* 15 pages (incl. 4 pages in the appendix) 

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Multi-Step Inference for Reasoning Over Paragraphs

Apr 06, 2020
Jiangming Liu, Matt Gardner


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Evaluating NLP Models via Contrast Sets

Apr 06, 2020
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou


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Break It Down: A Question Understanding Benchmark

Jan 31, 2020
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant

* Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2020. Author's final version 

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ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension

Dec 29, 2019
Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner


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Neural Module Networks for Reasoning over Text

Dec 10, 2019
Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner


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Question Answering is a Format; When is it Useful?

Sep 25, 2019
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min


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AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models

Sep 19, 2019
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh

* EMNLP 2019 Demo 

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Do NLP Models Know Numbers? Probing Numeracy in Embeddings

Sep 18, 2019
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner

* EMNLP 2019 

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QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions

Sep 08, 2019
Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark

* EMNLP'19 

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Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning

Sep 05, 2019
Pradeep Dasigi, Nelson F. Liu, Ana Marasović, Noah A. Smith, Matt Gardner

* 8 pages including appendix; EMNLP 2019 accepted paper camera ready version 

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Universal Adversarial Triggers for Attacking and Analyzing NLP

Aug 29, 2019
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh

* EMNLP 2019 

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Global Reasoning over Database Structures for Text-to-SQL Parsing

Aug 29, 2019
Ben Bogin, Matt Gardner, Jonathan Berant

* EMNLP 2019 

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Universal Adversarial Triggers for NLP

Aug 20, 2019
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh

* EMNLP 2019 

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Reasoning Over Paragraph Effects in Situations

Aug 16, 2019
Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner


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Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling

Jun 20, 2019
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh


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Compositional Questions Do Not Necessitate Multi-hop Reasoning

Jun 07, 2019
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer

* Published as a conference paper at ACL 2019 (short). Code available at https://github.com/shmsw25/single-hop-rc 

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Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

Jun 03, 2019
Ben Bogin, Matt Gardner, Jonathan Berant

* Accepted as a short paper at ACL 2019 

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Grammar-based Neural Text-to-SQL Generation

May 30, 2019
Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner


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DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Apr 16, 2019
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner


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Linguistic Knowledge and Transferability of Contextual Representations

Apr 11, 2019
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith

* 22 pages, 4 figures; to appear at NAACL 2019. Converted appendices to two-column format for camera-ready 

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QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships

Nov 20, 2018
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal

* 9 pages, AAAI 2019 

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AllenNLP: A Deep Semantic Natural Language Processing Platform

May 31, 2018
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson Liu, Matthew Peters, Michael Schmitz, Luke Zettlemoyer

* Describes the initial version of AllenNLP. Many features and models have been added since the first release. This is the paper to cite if you use AllenNLP in your research. Updated 5/31/2018 with version accepted to the NLP OSS workshop help at ACL 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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