| 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 | 428 | 2021 |
| Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... arXiv preprint arXiv:1908.05739, 2019 | 272 | 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 | 211 | 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 | 186 | 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 | 160 | 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 | 152 | 2016 |
| 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 | 85 | 2014 |
| 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 | 84 | 2017 |
| 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 | 74 | 2013 |
| Delphi: Towards machine ethics and norms L Jiang, JD Hwang, C Bhagavatula, RL Bras, M Forbes, J Borchardt, ... arXiv preprint arXiv:2110.07574, 2021 | 73 | 2021 |
| 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 | 68 | 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 | 62 | 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 | 62 | 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 | 61 | 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 | 58 | 2016 |
| Uncertain natural language inference T Chen, Z Jiang, A Poliak, K Sakaguchi, B Van Durme arXiv preprint arXiv:1909.03042, 2019 | 54 | 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 | 38 | 2018 |
| 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 | 31* | 2021 |
| 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 | 30 | 2020 |
| NAIST at 2013 CoNLL Grammatical Error Correction Shared Task. I Yoshimoto, T Kose, K Mitsuzawa, K Sakaguchi, T Mizumoto, ... Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013 | 30 | 2013 |
Ronan Le BrasAllen Institute for Artificial IntelligenceVerified email at allenai.org
