Keisuke Sakaguchi

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Citations	2793	2578
h-index	25	23
i10-index	32	29

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Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Ronan Le BrasAllen Institute for Artificial IntelligenceVerified email at allenai.org
Chandra BhagavatulaAllen Institute for Artificial IntelligenceVerified email at allenai.org
Benjamin Van DurmeJohns Hopkins University; Microsoft Semantic MachinesVerified email at cs.jhu.edu
Matt PostMicrosoft TranslatorVerified email at cs.jhu.edu
Joel R TetreaultDataminrVerified email at dataminr.com
Courtney NapolesGrammarlyVerified email at grammarly.com
Jena D. HwangAllen Institute for AIVerified email at allenai.org
Niket TandonSenior Research Scientist, Allen Institute for AIVerified email at allenai.org
Peter ClarkAllen Institute for Artificial Intelligence (AI2)Verified email at allenai.org
Mamoru KomachiProfessor at Hitotsubashi UniversityVerified email at r.hit-u.ac.jp
Yuji MatsumotoTeam Leader, RIKEN Center for Advanced Intelligence ProjectVerified email at is.naist.jp
Doug DowneyAllen Institute for AI and Northwestern UniversityVerified email at eecs.northwestern.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Tim VieiraJohns Hopkins UniversityVerified email at cs.jhu.edu
Sheng ZhangMicrosoft ResearchVerified email at microsoft.com
Kyle RawlinsAssociate Professor, Cognitive Science, Johns Hopkins UniversityVerified email at jhu.edu
Rachel RudingerAssistant Professor, Department of Computer Science, University of MarylandVerified email at umd.edu
Aaron Steven WhiteUniversity of RochesterVerified email at rochester.edu
Chaitanya MalaviyaUniversity of PennsylvaniaVerified email at seas.upenn.edu

Keisuke Sakaguchi

Tohoku University

Verified email at tohoku.ac.jp - Homepage

Natural Language Processing Machine Learning Psycholinguistics


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WinoGrande: An Adversarial Winograd Schema Challenge at Scale K Sakaguchi, R Le Bras, C Bhagavatula, Y Choi Communications of the ACM 64 (9), 99-106, 2021	505	2021
Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... arXiv preprint arXiv:1908.05739, 2019	300	2019
(Comet-) atomic 2020: on symbolic and neural commonsense knowledge graphs JD Hwang, C Bhagavatula, R Le Bras, J Da, K Sakaguchi, A Bosselut, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6384-6392, 2021	259	2021
Ground Truth for Grammatical Error Correction Metrics C Napoles, K Sakaguchi, M Post, J Tetreault Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	206	2015
JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction C Napoles, K Sakaguchi, J Tetreault Proceedings of the 15th Conference of the European Chapter of the …, 2017	172	2017
Universal Decompositional Semantics on Universal Dependencies AS White, D Reisinger, K Sakaguchi, T Vieira, S Zhang, R Rudinger, ... Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016	170	2016
Delphi: Towards machine ethics and norms L Jiang, JD Hwang, C Bhagavatula, R Le Bras, M Forbes, J Borchardt, ... arXiv preprint arXiv:2110.07574 6, 2021	89	2021
Robsut wrod reocginiton via semi-character recurrent neural network K Sakaguchi, K Duh, M Post, B Van Durme Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	88	2017
Efficient elicitation of annotations for human evaluation of machine translation K Sakaguchi, M Post, B Van Durme Proceedings of the Ninth Workshop on Statistical Machine Translation, 1-11, 2014	84	2014
Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners K Sakaguchi, Y Arase, M Komachi Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	78	2013
Reassessing the goals of grammatical error correction: Fluency instead of grammaticality K Sakaguchi, C Napoles, M Post, J Tetreault Transactions of the Association for Computational Linguistics 4, 169-182, 2016	72	2016
Wiqa: A dataset for" what if..." reasoning over procedural text N Tandon, BD Mishra, K Sakaguchi, A Bosselut, P Clark arXiv preprint arXiv:1909.04739, 2019	71	2019
Effective Feature Integration for Automated Short Answer Scoring. K Sakaguchi, M Heilman, N Madnani Proceedings of the 2015 Conference of the North American Chapter of the …, 2015	69	2015
Grammatical Error Correction with Neural Reinforcement Learning K Sakaguchi, M Post, B Van Durme Proceedings of the Eighth International Joint Conference on Natural Language …, 2017	63	2017
There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction C Napoles, K Sakaguchi, J Tetreault Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016	59	2016
Uncertain natural language inference T Chen, Z Jiang, A Poliak, K Sakaguchi, B Van Durme arXiv preprint arXiv:1909.03042, 2019	57	2019
Efficient Online Scalar Annotation with Bounded Support K Sakaguchi, B Van Durme Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	42	2018
A dataset for tracking entities in open domain procedural text N Tandon, K Sakaguchi, BD Mishra, D Rajagopal, P Clark, M Guerquin, ... arXiv preprint arXiv:2011.08092, 2020	36	2020
proScript: Partially Ordered Scripts Generation K Sakaguchi, C Bhagavatula, RL Bras, N Tandon, P Clark, Y Choi Findings of the Association for Computational Linguistics: EMNLP 2021, 2138 …, 2021	35*	2021
GLEU without tuning C Napoles, K Sakaguchi, M Post, J Tetreault arXiv preprint arXiv:1605.02592, 2016	32	2016

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