Transfer learning for low-resource neural machine translation B Zoph, D Yuret, J May, K Knight arXiv preprint arXiv:1604.02201, 2016 | 935 | 2016 |
Cross-lingual name tagging and linking for 282 languages X Pan, B Zhang, J May, J Nothman, K Knight, H Ji Proceedings of the 55th annual meeting of the association for computational …, 2017 | 439 | 2017 |
Experience grounds language Y Bisk, A Holtzman, J Thomason, J Andreas, Y Bengio, J Chai, M Lapata, ... arXiv preprint arXiv:2004.10151, 2020 | 370 | 2020 |
Tuning as ranking M Hopkins, J May Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 320 | 2011 |
Training tree transducers J Graehl, K Knight, J May Computational Linguistics 34 (3), 391-427, 2008 | 314 | 2008 |
Warp: Word-level adversarial reprogramming K Hambardzumyan, H Khachatrian, J May arXiv preprint arXiv:2101.00121, 2021 | 302 | 2021 |
Towards controllable story generation N Peng, M Ghazvininejad, J May, K Knight Proceedings of the First Workshop on Storytelling, 43-49, 2018 | 170 | 2018 |
Luna: Linear unified nested attention X Ma, X Kong, S Wang, C Zhou, J May, H Ma, L Zettlemoyer Advances in Neural Information Processing Systems 34, 2441-2453, 2021 | 123 | 2021 |
Parsing English into abstract meaning representation using syntax-based machine translation M Pust, U Hermjakob, K Knight, D Marcu, J May Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 101 | 2015 |
Tiburon: A weighted tree automata toolkit J May, K Knight International Conference on Implementation and Application of Automata, 102-113, 2006 | 98 | 2006 |
Mega: moving average equipped gated attention X Ma, C Zhou, X Kong, J He, L Gui, G Neubig, J May, L Zettlemoyer arXiv preprint arXiv:2209.10655, 2022 | 95 | 2022 |
Connecting the dots: Event graph schema induction with path language modeling M Li, Q Zeng, Y Lin, K Cho, H Ji, J May, N Chambers, C Voss Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 87 | 2020 |
Recurrent neural networks as weighted language recognizers Y Chen, S Gilroy, A Maletti, J May, K Knight arXiv preprint arXiv:1711.05408, 2017 | 79 | 2017 |
Semeval-2016 task 8: Meaning representation parsing J May Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 76 | 2016 |
Semeval-2017 task 9: Abstract meaning representation parsing and generation J May, J Priyadarshi Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 73 | 2017 |
Backward and forward bisimulation minimization of tree automata J Högberg, A Maletti, J May Theoretical Computer Science 410 (37), 3539-3552, 2009 | 73 | 2009 |
Finding the optimal vocabulary size for neural machine translation T Gowda, J May arXiv preprint arXiv:2004.02334, 2020 | 69 | 2020 |
Applications of weighted automata in natural language processing K Knight, J May Handbook of Weighted Automata, 571-596, 2009 | 68 | 2009 |
Re-structuring, re-labeling, and re-aligning for syntax-based machine translation W Wang, J May, K Knight, D Marcu Computational linguistics 36 (2), 247-277, 2010 | 64 | 2010 |
Cross-attention is all you need: Adapting pretrained transformers for machine translation M Gheini, X Ren, J May arXiv preprint arXiv:2104.08771, 2021 | 59 | 2021 |