| End-to-end Neural Coreference Resolution K Lee, L He, M Lewis, L Zettlemoyer arXiv preprint arXiv:1707.07045, 2017 | 418 | 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 | 331 | 2017 |
| Higher-order Coreference Resolution with Coarse-to-fine Inference K Lee, L He, L Zettlemoyer arXiv preprint arXiv:1804.05392, 2018 | 163 | 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 | 128 | 2018 |
| Jointly predicting predicates and arguments in neural semantic role labeling L He, K Lee, O Levy, L Zettlemoyer arXiv preprint arXiv:1805.04787, 2018 | 118 | 2018 |
| 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 | 111 | 2015 |
| 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), 15, 2013 | 79 | 2013 |
| 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 | 58 | 2019 |
| PAWS: Paraphrase Adversaries from Word Scrambling Y Zhang, J Baldridge, L He arXiv preprint arXiv:1904.01130, 2019 | 51 | 2019 |
| Joint A* CCG Parsing and Semantic Role Labelling. M Lewis, L He, L Zettlemoyer EMNLP, 1444-1454, 2015 | 47 | 2015 |
| Large-Scale QA-SRL Parsing N FitzGerald, J Michael, L He, L Zettlemoyer arXiv preprint arXiv:1805.05377, 2018 | 39 | 2018 |
| Crowdsourcing Question-Answer Meaning Representations J Michael, G Stanovsky, L He, I Dagan, L Zettlemoyer arXiv preprint arXiv:1711.05885, 2017 | 31 | 2017 |
| 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 | 20 | 2019 |
| 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 | 20 | 2016 |
| Informative ensemble of multi-resolution dynamic factorization models T Chen, Z Zheng, Q Lu, X Jiang, Y Chen, W Zhang, K Chen, Y Yu, N Liu, ... KDD-Cup Workshop, 2011 | 18 | 2011 |
| Graph-based posterior regularization for semi-supervised structured prediction L He, J Gillenwater, B Taskar Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013 | 17 | 2013 |
| Active Dual Collaborative Filtering with Both Item and Attribute Feedback. L He, NN Liu, Q Yang AAAI, 2011 | 16 | 2011 |
| Multi-label learning with posterior regularization XV Lin, S Singh, L He, B Taskar, L Zettlemoyer NIPS Workshop on Modern Machine Learning and Natural Language Processing, 2014 | 9 | 2014 |
| Annotating and Modeling Shallow Semantics Directly from Text L He | 1 | 2018 |
| PAWS: Paraphrase Adversaries from Word Scrambling J Baldridge, L He, Y Zhang | | 2019 |
Luke ZettlemoyerUniversity of Washington; FacebookVerified email at cs.washington.edu
