| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2513 | 2023 |
| BERT rediscovers the classical NLP pipeline I Tenney, D Das, E Pavlick Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 1819 | 2019 |
| 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 | 1783 | 2016 |
| 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 | 1501 | 2020 |
| A universal part-of-speech tagset S Petrov, D Das, R McDonald Proceedings of the Eighth International Conference on Language Resources and …, 2011 | 1386 | 2011 |
| 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 | 1351 | 2011 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 990 | 2024 |
| 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 | 952 | 2019 |
| A survey on automatic text summarization D Das, AFT Martins Language and Statistics II Course, Language Technologies Institute, Carnegie …, 2007 | 743 | 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 | 740 | 2013 |
| Frame-semantic parsing D Das, D Chen, AFT Martins, N Schneider, NA Smith Computational linguistics 40 (1), 9-56, 2014 | 412 | 2014 |
| 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 | 374 | 2020 |
| 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 | 355 | 2011 |
| 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 | 309 | 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 | 279 | 2009 |
| Probabilistic frame-semantic parsing D Das, N Schneider, D Chen, NA Smith Human language technologies: The 2010 annual conference of the North …, 2010 | 264 | 2010 |
| Language models are multilingual chain-of-thought reasoners F Shi, M Suzgun, M Freitag, X Wang, S Srivats, S Vosoughi, HW Chung, ... arXiv preprint arXiv:2210.03057, 2022 | 259 | 2022 |
| 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 | 227 | 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 | 219 | 2016 |
| Handling divergent reference texts when evaluating table-to-text generation B Dhingra, M Faruqui, A Parikh, MW Chang, D Das, WW Cohen Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 205 | 2019 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceE-mail megerősítve itt: cs.washington.edu