| Part-of-speech tagging for twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ... Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 1280 | 2011 |
| A decomposable attention model for natural language inference AP Parikh, O Täckström, D Das, J Uszkoreit Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 1232 | 2016 |
| A universal part-of-speech tagset S Petrov, D Das, R McDonald Proceedings of the Eighth International Conference on Language Resources and …, 2011 | 1116 | 2011 |
| BERT rediscovers the classical NLP pipeline I Tenney, D Das, E Pavlick Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 761 | 2019 |
| A survey on automatic text summarization D Das, AFT Martins Language and Statistics II Course Project, LTI, CMU, 2007 | 633 | 2007 |
| Universal dependency annotation for multilingual parsing R McDonald, J Nivre, Y Quirmbach-Brundage, Y Goldberg, D Das, ... Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 602 | 2013 |
| What do you learn from context? probing for sentence structure in contextualized word representations I Tenney, P Xia, B Chen, A Wang, A Poliak, RT McCoy, N Kim, ... International Conference on Learning Representations, 2019 | 495 | 2019 |
| Frame-semantic parsing D Das, D Chen, AFT Martins, N Schneider, NA Smith Computational linguistics 40 (1), 9-56, 2014 | 348 | 2014 |
| Unsupervised part-of-speech tagging with bilingual graph-based projections D Das, S Petrov Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 335 | 2011 |
| BLEURT: Learning Robust Metrics for Text Generation T Sellam, D Das, AP Parikh Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 331 | 2020 |
| Movie reviews and revenues: An experiment in text regression M Joshi, D Das, K Gimpel, NA Smith Human language technologies: The 2010 annual conference of the North …, 2010 | 279 | 2010 |
| Paraphrase identification as probabilistic quasi-synchronous recognition D Das, NA Smith Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 248 | 2009 |
| Probabilistic frame-semantic parsing D Das, N Schneider, D Chen, NA Smith Human language technologies: The 2010 annual conference of the North …, 2010 | 235 | 2010 |
| Token and type constraints for cross-lingual part-of-speech tagging O Täckström, D Das, S Petrov, R McDonald, J Nivre Transactions of the Association for Computational Linguistics 1, 1-12, 2013 | 201 | 2013 |
| Transforming dependency structures to logical forms for semantic parsing S Reddy, O Täckström, M Collins, T Kwiatkowski, D Das, M Steedman, ... Transactions of the Association for Computational Linguistics 4, 127-140, 2016 | 171 | 2016 |
| Semantic Role Labeling with Neural Network Factors N FitzGerald, O Täckström, K Ganchev, D Das Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 147 | 2015 |
| Learning recurrent span representations for extractive question answering K Lee, S Salant, T Kwiatkowski, A Parikh, D Das, J Berant arXiv preprint arXiv:1611.01436, 2016 | 133 | 2016 |
| Semantic frame identification with distributed word representations KM Hermann, D Das, J Weston, K Ganchev Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 125 | 2014 |
| Semi-supervised frame-semantic parsing for unknown predicates D Das, NA Smith Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 113 | 2011 |
| ToTTo: A Controlled Table-To-Text Generation Dataset AP Parikh, X Wang, S Gehrmann, M Faruqui, B Dhingra, D Yang, D Das Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 112 | 2020 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
