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We introduce an automatic system that achieves state-of-the-art results on the Winograd Schema Challenge (WSC), a common sense reasoning task that requires diverse, complex forms of inference and knowledge.
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The winograd schema challenge
Hector J Levesque, Ernest Davis, and Leora Morgenstern. 2011 · 2011
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Choice of plausible alternatives: An evaluation of commonsense causal reasoning
Melissa Roemmele, Cosmin Adrian Bejan, and Andrew S Gordon. 2011 · 2011
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Mohit Bansal and Dan Klein. 2012 · 2012
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Solving hard coreference problems
Haoruo Peng, Daniel Khashabi, and Dan Roth. 2015 · 2015
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Towards addressing the winograd schema challenge-building and using a semantic parser and a knowledge hunting module
Arpit Sharma, Nguyen Ha Vo, Somak Aditya, and Chitta Baral. 2015 · 2015
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Probabilistic reasoning via deep learning: Neural association models
Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, and Yu Hu. 2016 · 2016
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Commonsense causal reasoning between short texts
Zhiyi Luo, Yuchen Sha, Kenny Q Zhu, Seung-won Hwang, and Zhongyuan Wang. 2016 · 2016
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Planning, executing, and evaluating the winograd schema challenge
Leora Morgenstern, Ernest Davis, and Charles L Ortiz Jr. 2016 · 2016
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Dynamic knowledge-base alignment for coreference resolution
Jiaping Zheng, Luke Vilnis, Sameer Singh, Jinho D Choi, and Andrew McCallum. 2013 · 2013
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An example-based approach to difficult pronoun resolution
Canasai Kruengkrai, Naoya Inoue, Jun Sugiura, and Kentaro Inui. 2014 · 2014
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The stanford corenlp natural language processing toolkit
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
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The winograd schema challenge and reasoning about correlation
Dan Bailey, Amelia Harrison, Yuliya Lierler, Vladimir Lifschitz, and Julian Michael. 2015 · 2015
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Establishing a human baseline for the winograd schema challenge
David Bender. 2015 · 2015
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Commonsense reasoning in a deeper way: By discovering relations between predicates
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The narrativeqa reading comprehension challenge
Tomáš Kočiskỳ, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, and Edward Grefenstette. 2017 · 2017
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Combing context and commonsense knowledge through neural networks for solving winograd schema problems
Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhul, Si Wei, and Yu Hu. 2017 · 2017
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Handling multiword expressions in causality estimation
Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. 2017 · 2017
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A generalized knowledge hunting framework for the winograd schema challenge
Ali Emami, Adam Trischler, Kaheer Suleman, and Jackie Chi Kit Cheung. 2018 · 2018
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A simple method for commonsense reasoning
Trieu H Trinh and Quoc V Le. 2018 · 2018
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