| Annotation artifacts in natural language inference data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... Proceedings of the 2016 Conference of the North American Chapter of the …, 2018 | 370 | 2018 |
| A dependency parser for tweets L Kong, N Schneider, S Swayamdipta, A Bhatia, C Dyer, NA Smith Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 235 | 2014 |
| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 203 | 2017 |
| Don't Stop Pretraining: Adapt Language Models to Domains and Tasks S Gururangan, A Marasović, S Swayamdipta, K Lo, I Beltagy, D Downey, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 147 | 2020 |
| Transfer learning in natural language processing S Ruder, ME Peters, S Swayamdipta, T Wolf Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 93 | 2019 |
| Frame-semantic parsing with softmax-margin segmental rnns and a syntactic scaffold S Swayamdipta, S Thomson, C Dyer, NA Smith arXiv preprint arXiv:1706.09528, 2017 | 68 | 2017 |
| Syntactic Scaffolds for Semantic Structures S Swayamdipta, S Thomson, K Lee, L Zettlemoyer, C Dyer, NA Smith Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 57 | 2018 |
| Greedy, joint syntactic-semantic parsing with stack LSTMs S Swayamdipta, M Ballesteros, C Dyer, NA Smith SIGNLL Conference on Computational Natural Language Learning 16, http …, 2016 | 47 | 2016 |
| Learning joint semantic parsers from disjoint data H Peng, S Thomson, S Swayamdipta, NA Smith Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 36 | 2018 |
| Adversarial Filters of Dataset Biases R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ... Proceedings of ICML, 2019 | 28* | 2019 |
| Polyglot Semantic Role Labeling P Mulcaire, S Swayamdipta, N Smith Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 26 | 2018 |
| Multi-mention learning for reading comprehension with neural cascades S Swayamdipta, AP Parikh, T Kwiatkowski International Conference on Learning Representations, 2017 | 23 | 2017 |
| The pursuit of power and its manifestation in written dialog S Swayamdipta, O Rambow 2012 IEEE Sixth International Conference on Semantic Computing, 22-29, 2012 | 13 | 2012 |
| The Right Tool for the Job: Matching Model and Instance Complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 12 | 2020 |
| CMU: Arc-factored, discriminative semantic dependency parsing S Thompson, B O'Connor, J Flanigan, D Bamman, J Dodge, ... Carnegie Mellon University, 2014 | 12 | 2014 |
| G-Daug: Generative Data Augmentation for Commonsense Reasoning Y Yang, C Malaviya, J Fernandez, S Swayamdipta, RL Bras, JP Wang, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 1008 …, 2020 | 10 | 2020 |
| The CMU machine translation systems at WMT 2014 A Matthews, W Ammar, A Bhatia, W Feely, G Hanneman, E Schlinger, ... Proceedings of the Ninth Workshop on Statistical Machine Translation, 142-149, 2014 | 9 | 2014 |
| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 8 | 2020 |
| Shallow syntax in deep water S Swayamdipta, M Peters, B Roof, C Dyer, NA Smith arXiv preprint arXiv:1908.11047, 2019 | 5 | 2019 |
| Frame semantics across languages: Towards a multilingual framenet CF Baker, M Ellsworth, MRL Petruck, S Swayamdipta Proceedings of the 27th International Conference on Computational …, 2018 | 3 | 2018 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial Intelligence確認したメール アドレス: cs.washington.edu
