Truth of varying shades: Analyzing language in fake news and political fact-checking H Rashkin, E Choi, JY Jang, S Volkova, Y Choi Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 994 | 2017 |
COMET: Commonsense transformers for automatic knowledge graph construction A Bosselut, H Rashkin, M Sap, C Malaviya, A Celikyilmaz, Y Choi Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 974 | 2019 |
Defending against neural fake news R Zellers, A Holtzman, H Rashkin, Y Bisk, A Farhadi, F Roesner, Y Choi Advances in Neural Information Processing Systems 32, 2019 | 968 | 2019 |
Atomic: An atlas of machine commonsense for if-then reasoning M Sap, R Le Bras, E Allaway, C Bhagavatula, N Lourie, H Rashkin, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 3027-3035, 2019 | 900 | 2019 |
Towards empathetic open-domain conversation models: A new benchmark and dataset H Rashkin, EM Smith, M Li, YL Boureau Proceedings of ACL, 2019 | 858 | 2019 |
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 816 | 2022 |
Socialiqa: Commonsense reasoning about social interactions M Sap, H Rashkin, D Chen, R LeBras, Y Choi Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 574 | 2019 |
Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... Proceedings of International Conference on Learning Representations, 2020 | 387 | 2020 |
Event2mind: Commonsense inference on events, intents, and reactions H Rashkin, M Sap, E Allaway, NA Smith, Y Choi Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 206 | 2018 |
Plotmachines: Outline-conditioned generation with dynamic plot state tracking H Rashkin, A Celikyilmaz, Y Choi, J Gao Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 138 | 2020 |
Connotation frames of power and agency in modern films M Sap, MC Prasettio, A Holtzman, H Rashkin, Y Choi Proceedings of the 2017 conference on Empirical Methods in Natural Language …, 2017 | 121 | 2017 |
Measuring attribution in natural language generation models H Rashkin, V Nikolaev, M Lamm, L Aroyo, M Collins, D Das, S Petrov, ... Computational Linguistics, 1-64, 2023 | 108 | 2023 |
Modeling naive psychology of characters in simple commonsense stories H Rashkin, A Bosselut, M Sap, K Knight, Y Choi Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 101 | 2018 |
Connotation frames: A data-driven investigation H Rashkin, S Singh, Y Choi Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 95 | 2016 |
Increasing faithfulness in knowledge-grounded dialogue with controllable features H Rashkin, D Reitter, GS Tomar, D Das Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 94 | 2021 |
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark N Dziri, H Rashkin, T Linzen, D Reitter Transactions of the Association for Computational Linguistics 10, 1066-1083, 2022 | 74* | 2022 |
PowerTransformer: Unsupervised controllable revision for biased language correction X Ma, M Sap, H Rashkin, Y Choi Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 66 | 2020 |
Conqrr: Conversational query rewriting for retrieval with reinforcement learning Z Wu, Y Luan, H Rashkin, D Reitter, H Hajishirzi, M Ostendorf, GS Tomar Proceedings of EMNLP, 2022 | 47 | 2022 |
Document-level sentiment inference with social, faction, and discourse context E Choi, H Rashkin, L Zettlemoyer, Y Choi Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 33 | 2016 |
Multilingual connotation frames: a case study on social media for targeted sentiment analysis and forecast H Rashkin, E Bell, Y Choi, S Volkova Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 30 | 2017 |