| Selective sharing for multilingual dependency parsing T Naseem, R Barzilay, A Globerson The Association for Computational Linguistics, 2012 | 177 | 2012 |
| Using universal linguistic knowledge to guide grammar induction T Naseem, H Chen, R Barzilay, M Johnson | 153 | 2010 |
| Leveraging abstract meaning representation for knowledge base question answering P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ... arXiv preprint arXiv:2012.01707, 2020 | 117* | 2020 |
| Unsupervised multilingual grammar induction B Snyder, T Naseem, R Barzilay Association for Computational Linguistics, 2009 | 97 | 2009 |
| GPT-too: A language-model-first approach for AMR-to-text generation M Mager, RF Astudillo, T Naseem, MA Sultan, YS Lee, R Florian, ... Proceedings of the ACL 2020, 2020 | 91 | 2020 |
| Multilingual part-of-speech tagging: Two unsupervised approaches T Naseem, B Snyder, J Eisenstein, R Barzilay Journal of Artificial Intelligence Research 36, 341-385, 2009 | 78 | 2009 |
| Transition-based parsing with stack-transformers RF Astudillo, M Ballesteros, T Naseem, A Blodgett, R Florian arXiv preprint arXiv:2010.10669, 2020 | 68 | 2020 |
| Rewarding Smatch: Transition-based AMR parsing with reinforcement learning T Naseem, A Shah, H Wan, R Florian, S Roukos, M Ballesteros Proceedings of the ACL 2019, 2019 | 64 | 2019 |
| Unsupervised multilingual learning for POS tagging B Snyder, T Naseem, J Eisenstein, R Barzilay Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008 | 60 | 2008 |
| A novel approach for ranking spelling error corrections for Urdu T Naseem, S Hussain Language Resources and Evaluation 41, 117-128, 2007 | 60 | 2007 |
| Adding more languages improves unsupervised multilingual part-of-speech tagging: A Bayesian non-parametric approach B Snyder, T Naseem, J Eisenstein, R Barzilay Association for Computational Linguistics, 2009 | 53 | 2009 |
| AMR parsing with action-pointer transformer J Zhou, T Naseem, RF Astudillo, R Florian arXiv preprint arXiv:2104.14674, 2021 | 45 | 2021 |
| Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing J Zhou, T Naseem, RF Astudillo, YS Lee, R Florian, S Roukos arXiv preprint arXiv:2110.15534, 2021 | 33 | 2021 |
| Structural guidance for transformer language models P Qian, T Naseem, R Levy, RF Astudillo arXiv preprint arXiv:2108.00104, 2021 | 30 | 2021 |
| A semantics-aware transformer model of relation linking for knowledge base question answering T Naseem, S Ravishankar, N Mihindukulasooriya, I Abdelaziz, YS Lee, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 26 | 2021 |
| In-domain relation discovery with meta-constraints via posterior regularization H Chen, E Benson, T Naseem, R Barzilay Association for Computing Machinery, 2011 | 26 | 2011 |
| A hybrid approach for Urdu spell checking T Naseem Master of Science (Computer Science) thesis at the National University of …, 2004 | 25* | 2004 |
| Pushing the limits of AMR parsing with self-learning YS Lee, RF Astudillo, T Naseem, RG Reddy, R Florian, S Roukos arXiv preprint arXiv:2010.10673, 2020 | 24 | 2020 |
| Using semantic cues to learn syntax T Naseem, R Barzilay Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 902-907, 2011 | 24 | 2011 |
| Maximum Bayes Smatch ensemble distillation for AMR parsing YS Lee, RF Astudillo, TL Hoang, T Naseem, R Florian, S Roukos arXiv preprint arXiv:2112.07790, 2021 | 20 | 2021 |
Ramón Fernandez AstudilloIBMDirección de correo verificada de astudillo.com
