| End-to-end Neural Coreference Resolution K Lee, L He, M Lewis, L Zettlemoyer arXiv preprint arXiv:1707.07045, 2017 | 889 | 2017 |
| Deep semantic role labeling: What works and what’s next L He, K Lee, M Lewis, L Zettlemoyer Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 489 | 2017 |
| Higher-order Coreference Resolution with Coarse-to-fine Inference K Lee, L He, L Zettlemoyer arXiv preprint arXiv:1804.05392, 2018 | 442 | 2018 |
| Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction Y Luan, L He, M Ostendorf, H Hajishirzi arXiv preprint arXiv:1808.09602, 2018 | 437 | 2018 |
| PAWS: Paraphrase Adversaries from Word Scrambling Y Zhang, J Baldridge, L He arXiv preprint arXiv:1904.01130, 2019 | 277 | 2019 |
| A General Framework for Information Extraction using Dynamic Span Graphs Y Luan, D Wadden, L He, A Shah, M Ostendorf, H Hajishirzi arXiv preprint arXiv:1904.03296, 2019 | 236 | 2019 |
| Question-answer driven semantic role labeling: Using natural language to annotate natural language L He, M Lewis, L Zettlemoyer Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 202 | 2015 |
| Jointly predicting predicates and arguments in neural semantic role labeling L He, K Lee, O Levy, L Zettlemoyer arXiv preprint arXiv:1805.04787, 2018 | 191 | 2018 |
| 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 | 100 | 2022 |
| Social temporal collaborative ranking for context aware movie recommendation NN Liu, L He, M Zhao ACM Transactions on Intelligent Systems and Technology (TIST) 4 (1), 1-26, 2013 | 87 | 2013 |
| Large-Scale QA-SRL Parsing N FitzGerald, J Michael, L He, L Zettlemoyer arXiv preprint arXiv:1805.05377, 2018 | 85 | 2018 |
| Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension D Andor, L He, K Lee, E Pitler arXiv preprint arXiv:1909.00109, 2019 | 84 | 2019 |
| Crowdsourcing Question-Answer Meaning Representations J Michael, G Stanovsky, L He, I Dagan, L Zettlemoyer arXiv preprint arXiv:1711.05885, 2017 | 64 | 2017 |
| Joint A* CCG Parsing and Semantic Role Labelling. M Lewis, L He, L Zettlemoyer EMNLP, 1444-1454, 2015 | 58 | 2015 |
| Human-in-the-loop parsing L He, J Michael, M Lewis, L Zettlemoyer Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 33 | 2016 |
| Neural Data Augmentation via Example Extrapolation K Lee, K Guu, L He, T Dozat, HW Chung arXiv preprint arXiv:2102.01335, 2021 | 32 | 2021 |
| TIMEDIAL: Temporal commonsense reasoning in dialog L Qin, A Gupta, S Upadhyay, L He, Y Choi, M Faruqui arXiv preprint arXiv:2106.04571, 2021 | 29 | 2021 |
| TableFormer: Robust Transformer Modeling for Table-Text Encoding J Yang, A Gupta, S Upadhyay, L He, R Goel, S Paul arXiv preprint arXiv:2203.00274, 2022 | 25 | 2022 |
| Few-shot Intent Classification and Slot Filling with Retrieved Examples D Yu, L He, Y Zhang, X Du, P Pasupat, Q Li arXiv preprint arXiv:2104.05763, 2021 | 25 | 2021 |
| Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements Y Li, G Li, L He, J Zheng, H Li, Z Guan arXiv preprint arXiv:2010.04295, 2020 | 24 | 2020 |
Luke ZettlemoyerUniversity of Washington; Meta AIVahvistettu sähköpostiosoite verkkotunnuksessa cs.washington.edu
