| Which coreference evaluation metric do you trust? a proposal for a link-based entity aware metric NS Moosavi, M Strube Proceedings of the 54th annual meeting of the association for computational …, 2016 | 166 | 2016 |
| Towards debiasing NLU models from unknown biases PA Utama, NS Moosavi, I Gurevych Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 130 | 2020 |
| Mind the trade-off: Debiasing NLU models without degrading the in-distribution performance PA Utama, NS Moosavi, I Gurevych Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 103 | 2020 |
| Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 66 | 2021 |
| Anaphora Resolution with the ARRAU Corpus M Poesio, Y Grishina, V Kolhatkar, NS Moosavi, I Roeziger, A Roussel, ... Proceedings of the First Workshop on Computational Models of Reference …, 2018 | 62 | 2018 |
| Lexical features in coreference resolution: To be used with caution NS Moosavi, M Strube Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 45 | 2017 |
| SciGen: a dataset for reasoning-aware text generation from scientific tables NS Moosavi, A Rücklé, D Roth, I Gurevych Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 41* | 2021 |
| Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization PA Utama, J Bambrick, NS Moosavi, I Gurevych Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 34 | 2022 |
| Avoiding inference heuristics in few-shot prompt-based finetuning PA Utama, NS Moosavi, V Sanh, I Gurevych Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 31 | 2021 |
| Using linguistic features to improve the generalization capability of neural coreference resolvers NS Moosavi, M Strube Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 28 | 2018 |
| Coala: A neural coverage-based approach for long answer selection with small data A Rücklé, NS Moosavi, I Gurevych Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6932-6939, 2019 | 20 | 2019 |
| Improving QA generalization by concurrent modeling of multiple biases M Wu, NS Moosavi, A Rücklé, I Gurevych Findings of the Association for Computational Linguistics: EMNLP 2020, 839–853, 2020 | 18 | 2020 |
| Adaptable adapters NS Moosavi, Q Delfosse, K Kersting, I Gurevych Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 17 | 2022 |
| Search space pruning: A simple solution for better coreference resolvers NS Moosavi, M Strube Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 14 | 2016 |
| Stay together: A system for single and split-antecedent anaphora resolution J Yu, NS Moosavi, S Paun, M Poesio Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 13 | 2021 |
| Free the plural: Unrestricted split-antecedent anaphora resolution J Yu, NS Moosavi, S Paun, M Poesio Proceedings of the 28th International Conference on Computational …, 2020 | 13 | 2020 |
| Neural duplicate question detection without labeled training data A Rücklé, NS Moosavi, I Gurevych Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 13 | 2019 |
| A ranking approach to Persian pronoun resolution NS Moosavi, G Ghassem-Sani Advances in Computational Linguistics. Research in Computing Science 41, 169-180, 2009 | 13 | 2009 |
| Tcvisor: A hypervisor level secure storage M Rezaei, NS Moosavi, H Nemati, R Azmi 2010 International Conference for Internet Technology and Secured …, 2010 | 12 | 2010 |
| Revisiting Selectional Preferences for Coreference Resolution B Heinzerling, NS Moosavi, M Strube Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 11 | 2017 |
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, Abu Dhabi在 cs.tu-darmstadt.de 的电子邮件经过验证
