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Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference

Jun 07, 2021
Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Ma, Yanting Li, Yixin Nie, Kyle Richardson

* accepted to ACL Findings 2021 

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Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2

Mar 24, 2021
Gregor Betz, Kyle Richardson, Christian Voigt

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Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Feb 05, 2021
Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark

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A Dataset for Tracking Entities in Open Domain Procedural Text

Oct 31, 2020
Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard Hovy

* To appear in EMNLP 2020 

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Temporal Reasoning on Implicit Events from Distant Supervision

Oct 24, 2020
Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth

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OCNLI: Original Chinese Natural Language Inference

Oct 12, 2020
Hai Hu, Kyle Richardson, Liang Xu, Lu Li, Sandra Kuebler, Lawrence S. Moss

* Findings of EMNLP 2020 

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Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

Sep 01, 2020
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal

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Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations

Jun 12, 2020
Sumithra Bhakthavatsalam, Kyle Richardson, Niket Tandon, Peter Clark

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Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models

Apr 30, 2020
Atticus Geiger, Kyle Richardson, Christopher Potts

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Transformers as Soft Reasoners over Language

Feb 14, 2020
Peter Clark, Oyvind Tafjord, Kyle Richardson

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What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge

Dec 31, 2019
Kyle Richardson, Ashish Sabharwal

* work in progress 

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MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity

Oct 19, 2019
Hai Hu, Qi Chen, Kyle Richardson, Atreyee Mukherjee, Lawrence S. Moss, Sandra Kuebler

* accepted to SCIL 2020 

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Probing Natural Language Inference Models through Semantic Fragments

Sep 16, 2019
Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal

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From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project

Sep 11, 2019
Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz

* v2 add authors (content unchanged) 

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A Language for Function Signature Representations

Apr 18, 2018
Kyle Richardson

* short note 

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Polyglot Semantic Parsing in APIs

Apr 18, 2018
Kyle Richardson, Jonathan Berant, Jonas Kuhn

* accepted for NAACL-2018 (camera ready version) 

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Function Assistant: A Tool for NL Querying of APIs

Sep 15, 2017
Kyle Richardson, Jonas Kuhn

* in Proceedings of EMNLP-2017 (system demonstrations) 

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The Code2Text Challenge: Text Generation in Source Code Libraries

Jul 31, 2017
Kyle Richardson, Sina Zarrieß, Jonas Kuhn

* Proceedings of INLG 2017, shared task track 

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Learning Semantic Correspondences in Technical Documentation

May 13, 2017
Kyle Richardson, Jonas Kuhn

* accepted to ACL-2017 

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