🧑‍🔬 Tahira Naseem — all works

26 works · ← Tahira Naseem

1. Selective Sharing for Multilingual Dependency ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Tahira Naseem, Regina Barzilay, Amir Globerson2012 · 238 citations
2. Using Universal Linguistic Knowledge to Guide Grammar InductionConference on Empirical Methods in Natural Language Processing (EMNLP)Tahira Naseem, Harr Chen, Regina Barzilay, et al.2010 · 201 citations
3. Unsupervised Multilingual Grammar Induction ↗Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP · no summary yetBenjamin Snyder, Tahira Naseem, Regina Barzilay2009 · 119 citations
4. GPT-too: A Language-Model-First Approach for AMR-to-Text Generation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetManuel Mager et al.2020 · 118 citations
5. Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetTahira Naseem et al.2019 · 102 citations
6. Unsupervised Multilingual Learning for POS Tagging ↗Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing · no summary yetBenjamin Snyder et al.2008 · 101 citations
7. Transition-based Parsing with Stack-Transformers ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetRamón Fernandez Astudillo et al.2020 · 96 citations
8. Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches ↗Journal of Artificial Intelligence Research · no summary yetTahira Naseem et al.2009 · 79 citations
9. AMR Parsing with Action-Pointer Transformer ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetJiawei Zhou et al.2021 · 64 citations
10. Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetJiawei Zhou et al.2021 · 55 citations
11. Maximum Bayes Smatch Ensemble Distillation for AMR Parsing ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetYoung-Suk Lee et al.2022 · 48 citations
12. Pushing the Limits of AMR Parsing with Self-Learning ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetYoung-Suk Lee et al.2020 · 45 citations
13. In-domain Relation Discovery with Meta-constraints via Posterior Regularization ↗Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yetHarr Chen et al.2011 · 33 citations
14. Using Semantic Cues to Learn Syntax ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetTahira Naseem, Regina Barzilay2011 · 32 citations
15. Inducing and Using Alignments for Transition-based AMR Parsing ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetAndrew Drozdov et al.2022 · 26 citations
16. DocAMR: Multi-Sentence AMR Representation and EvaluationTahira Naseem, Austin Blodgett, Sadhana Kumaravel, et al.Machine translation · 24 citations
17. Bootstrapping Multilingual AMR with Contextual Word Alignments ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetJanaki Sheth et al.2021 · 21 citations
18. Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach ↗Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yetBenjamin Snyder et al.2009 · 17 citations
19. AMR Parsing with Instruction Fine-tuned Pre-trained Language Models ↗arXiv:2304.12272 · no summary yetYoung-Suk Lee et al.2023 · 12 citations
20. Alignment via Mutual Information ↗Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL) · no summary yetShinjini Ghosh et al.2023 · 1 citation
21. Adding more languages improves unsupervised multilingual tagging ↗no summary yetBenjamin Snyder et al.2009 · 1 citation
22. Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing ↗arXiv:2305.17273 · no summary yetSadhana Kumaravel et al.2023
23. The MIT Faculty has made this article openly available. Please share how this access benefits you ↗no summary yetCitable Link et al.2014
24. Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches ↗no summary yetCitable Link et al.2014
25. 2009b. Adding more languages improves unsupervised multilingual part-of-speech tagging: A Bayesian non-parametric approach ↗no summary yetBenjamin Snyder et al.2013
26. Multilingual part-ofspeech tagging: two unsupervised approaches ↗no summary yetTahira Naseem et al.2010

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