| Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension M Joshi, E Choi, DS Weld, L Zettlemoyer arXiv preprint arXiv:1705.03551, 2017 | 1913 | 2017 |
| 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 | 1012 | 2017 |
| QuAC: Question answering in context E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer arXiv preprint arXiv:1808.07036, 2018 | 879 | 2018 |
| Zero-shot relation extraction via reading comprehension O Levy, M Seo, E Choi, L Zettlemoyer arXiv preprint arXiv:1706.04115, 2017 | 545 | 2017 |
| TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages JH Clark, E Choi, M Collins, D Garrette, T Kwiatkowski, V Nikolaev, ... Transactions of the Association for Computational Linguistics 8, 454-470, 2020 | 483 | 2020 |
| Scaling semantic parsers with on-the-fly ontology matching T Kwiatkowski, E Choi, Y Artzi, L Zettlemoyer Proceedings of the 2013 conference on empirical methods in natural language …, 2013 | 393 | 2013 |
| MRQA 2019 shared task: Evaluating generalization in reading comprehension A Fisch, A Talmor, R Jia, M Seo, E Choi, D Chen arXiv preprint arXiv:1910.09753, 2019 | 272 | 2019 |
| Ultra-fine entity typing E Choi, O Levy, Y Choi, L Zettlemoyer arXiv preprint arXiv:1807.04905, 2018 | 229 | 2018 |
| Coarse-to-fine question answering for long documents E Choi, D Hewlett, J Uszkoreit, I Polosukhin, A Lacoste, J Berant Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 204* | 2017 |
| Neural metaphor detection in context G Gao, E Choi, Y Choi, L Zettlemoyer arXiv preprint arXiv:1808.09653, 2018 | 158 | 2018 |
| Entities as experts: Sparse memory access with entity supervision T Févry, LB Soares, N FitzGerald, E Choi, T Kwiatkowski arXiv preprint arXiv:2004.07202, 2020 | 154 | 2020 |
| Flowqa: Grasping flow in history for conversational machine comprehension HY Huang, E Choi, W Yih arXiv preprint arXiv:1810.06683, 2018 | 134 | 2018 |
| XOR QA: Cross-lingual open-retrieval question answering A Asai, J Kasai, JH Clark, K Lee, E Choi, H Hajishirzi arXiv preprint arXiv:2010.11856, 2020 | 120 | 2020 |
| SituatedQA: Incorporating extra-linguistic contexts into QA MJQ Zhang, E Choi arXiv preprint arXiv:2109.06157, 2021 | 89 | 2021 |
| Decontextualization: Making sentences stand-alone E Choi, J Palomaki, M Lamm, T Kwiatkowski, D Das, M Collins Transactions of the Association for Computational Linguistics 9, 447-461, 2021 | 81 | 2021 |
| Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021 | 69 | 2021 |
| Qed: A framework and dataset for explanations in question answering M Lamm, J Palomaki, C Alberti, D Andor, E Choi, LB Soares, M Collins Transactions of the Association for computational Linguistics 9, 790-806, 2021 | 69 | 2021 |
| pair2vec: Compositional word-pair embeddings for cross-sentence inference M Joshi, E Choi, O Levy, DS Weld, L Zettlemoyer arXiv preprint arXiv:1810.08854, 2018 | 58 | 2018 |
| Can NLI models verify QA systems' predictions? J Chen, E Choi, G Durrett arXiv preprint arXiv:2104.08731, 2021 | 50 | 2021 |
| RECOMP: Improving retrieval-augmented LMs with context compression and selective augmentation F Xu, W Shi, E Choi The Twelfth International Conference on Learning Representations, 2024 | 46* | 2024 |
Luke ZettlemoyerUniversity of Washington; Meta在 cs.washington.edu 的电子邮件经过验证
