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 | 180 | 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 | 140 | 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 | 104 | 2020 |
Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... Northern European Journal of Language Technology (NEJLT) 9, 2021 | 72 | 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 | 64 | 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 | 53 | 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 | 48* | 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 | 37 | 2022 |
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 | 31 | 2018 |
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 | 30 | 2021 |
Adaptable adapters NS Moosavi, Q Delfosse, K Kersting, I Gurevych Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 22 | 2022 |
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 |
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 | 15 | 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 | 14 | 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 | 14 | 2019 |
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 |
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores Y Liu, NS Moosavi, C Lin Findings of the Association for Computational Linguistics ACL 2024, 12688--12701, 2023 | 13 | 2023 |
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 |
Arithmetic-Based Pretraining--Improving Numeracy of Pretrained Language Models D Petrak, NS Moosavi, I Gurevych Proceedings of the 12th Joint Conference on Lexical and Computational …, 2022 | 12* | 2022 |