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UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark

Mar 24, 2021
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

* 27 pages, 19 figures, 34 tables. Accepted to AAAI 2021. For associated code and data see 

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GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation

Jan 17, 2021
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld

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Learning from Task Descriptions

Nov 16, 2020
Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters

* EMNLP 2020 

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Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Oct 15, 2020
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi

* Proceedings of EMNLP 2020 

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Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes

Aug 20, 2020
Nicholas Lourie, Ronan Le Bras, Yejin Choi

* 16 pages, 15 tables, 8 figures. For associated code and data, see 

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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Nov 02, 2018
Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant

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ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

Oct 31, 2018
Maarten Sap, Ronan LeBras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi

* Accepted to AAAI 2019; 9 pages, 3 figures 

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Extracting Scientific Figures with Distantly Supervised Neural Networks

May 30, 2018
Noah Siegel, Nicholas Lourie, Russell Power, Waleed Ammar

* 10 pages, 5 figures, paper accepted at JCDL 2018 

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