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The Winograd Schema Challenge is both a commonsense reasoning and natural language understanding challenge, introduced as an alternative to the Turing test.
Computing machinery and intelligence
A. M. Turing · 1950
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Understanding Natural Language
T. Winograd · 1972
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H. J. Levesque, E. Davis, L. Morgenstern. The Winograd Schema Challenge. Proc. KR
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Resolving complex cases of definite pronouns: The Winograd Schema Challenge
A. Rahman and V. Ng · 2012
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Representing general relational knowledge in ConceptNet 5
R. Speer, and C. Havasi · 2012
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A Corpus of Challenging Pronoun Disambiguation Problems, Adapted from Children’s Books
E. Davis and X. Pan · 2015
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Solving hard co-reference problems
H. Peng, D. Khashabi, and D. Roth · 2015
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Towards addressing the Winograd Schema Challenge — Building and using a semantic parser and a knowledge hunting module
A. Sharma, N. H. Vo, S. Aditya, and C. Baral · 2015
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Tackling the Winograd Schema Challenge through machine logical inferences
N. Isaak and L. Michael · 2016
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Beyond the Turing Test
G. Marcus, F. Rossi, M. Veloso · 2016
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Planning, executing, and evaluating the Winograd Schema Challenge
L. Morgenstern, E. Davis, and C. Ortiz · 2016
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A Google-proof collection of French Winograd schemas
P. Amsili and O. Seminck · 2017
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The first Winograd Schema Challenge at IJCAI-16
E. Davis, L. Morgenstern, and C. L. Ortiz · 2017
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Cause-effect knowledge acquisition and neural association model for solving a set of Winograd Schema Problems
Q. Liu, H. Jiang, A. Evdokimov, Z.-H. Ling, X. Zhu, S. Wei, and Y. Hu · 2017
Cited alongside, same era.
Combing context and commonsense knowledge through neural networks for solving Winograd schema problems
Q. Liu, H. Jiang, Z.-H. Ling, X. Zhu, S. Wei, and Y. Hu · 2017
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A knowledge hunting framework for common sense reasoning
A. Emami, N. De La Cruz, A. Trisch- ler, K. Suleman, and J. C. K. Cheung · 2018
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A marker passing approach to Winograd schemas
J. Fähndrich, S. Weber, and H. Kanthak · 2018
A surprisingly robust trick for Winograd Schema Challenge. Proc. ACL
V. Kocijan, A.-M. Cretu, O.-M. Camburu, Y. Yordanov, T. Lukasiewicz · 2019
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RoBERTa: A robustly optimized BERT pretraining approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov · 2019
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Rebooting AI
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A. Prakash, A. Sharma, A. Mitra, and C. Baral. Combining knowledge hunting and neural language models to solve the Winograd Schema Challenge. In Proc. ACL
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Language models are unsupervised multitask learners
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Cited alongside, same era.
Addressing the Winograd Schema Challenge as a sequence ranking task
J. Opitz and A. Frank · 2018
Cited alongside, same era.
Gender bias in coreference resolution
R. Rudinger, J. Naradowsky, B. Leo- nard, and B. Van Durme · 2018
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On the evaluation of common-sense reasoning in natural language understanding
P. Trichelair, A. Emami, J. C. K. Cheung, A. Trischler, K. Suleman, and F. Diaz · 2018
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A simple method for commonsense reasoning
T. H. Trinh, Q. V. Le · 2018
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H. Zhang, Y. Song. A distributed solution for Winograd Schema Challenge. ICMLC
2018
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BERT: Pre-training of deep bidirectional trans- formers for language understanding. Proc. NAACL
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2019
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C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu · 2019
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Exploring unsupervised pretraining and sentence structure modelling for Winograd Schema Challenge
Y.-P. Ruan, X. Zhu, Z.-H. Ling, Z. Shi, Q. Liu, and S. Wei · 2019
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Using answer set programming for commonsense reasoning in the Winograd Schema Challenge
A. Sharma · 2019
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SuperGLUE: A stickier benchmark for general-purpose language understanding systems
A. Wang, Y. Pruksachatkun, N. Nangia, A. Singh, J. Michael, F. Hill, O. Levy, S. R. Bowman · 2019
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GLUE: A multi-task benchmark and analysis platform for natural language understanding
A. Wang, A. Singh, J. Michael, F. Hill, O. Levy, and S. R. Bowman · 2019
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S. Wang, S. Zhang, Y. Shen, X. Liu, J. Liu, J. Gao, J. Jiang. Unsupervised deep structured semantic models for commonsense reasoning. NAACL
2019
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Z.-X. Ye, Q. Chen, W. Wang, and Z.-H. Ling · 2019
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The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
G. Marcus · 2020
Closest in time.
Esquemas de Winograd em português
G. Melo, V. Imaizumi, and F. Cozman · 2020
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WINOGRANDE: An adversarial Winograd Schema Challenge at scale
K. Sakaguchi, R. Le Bras, C. Bhagavatula, Y. Choi · 2020
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