Publications

2024

• Yiqi Liu, Nafise Sadat Moosavi, and Chenghua Lin. 2024. LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores. In Findings of the Association for Computational Linguistics: ACL 2024, pages 2345-2357. Association for Computational Linguistics. https://arxiv.org/abs/2311.09766.
• Zahra Delbari, Nafise Sadat Moosavi, and Mohammad Taher Pilehvar. 2024. Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales. In Proceedings of the 2024 AAAI Conference on Artificial Intelligence, pages 17889–17897. Association for the Advancement of Artificial Intelligence.
• Massimo Poesio, Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Amir Zeldes, Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, and Daniel Zeman. 2024. Universal Anaphora: The First Three Years. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 17087–17100, Torino, Italia. ELRA and ICCL.

2023

• Nafise Sadat Moosavi, Iryna Gurevych, Yufang Hou, Gyuwan Kim, Young Jin Kim, Tal Schuster, and Ameeta Agrawal. 2023. Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP). Association for Computational Linguistics, Toronto, Canada (Hybrid), edition.
• Dominic Petrak, Nafise Moosavi, Ye Tian, Nikolai Rozanov, and Iryna Gurevych. 2023. Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16259–16279, Singapore. Association for Computational Linguistics.
• Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, Massimo Poesio. 2023. Scoring Coreference Chains with Split-Antecedent Anaphors. Dialogue and Discourse, 14(2), 1-48.
• Jasivan Sivakumar and Nafise Sadat Moosavi. 2023. FERMAT: An Alternative to Accuracy for Numerical Reasoning. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15026–15043, Toronto, Canada. Association for Computational Linguistics.
• Dominic Petrak, Nafise Sadat Moosavi, and Iryna Gurevych. 2023. Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models. In Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), pages 477–493, Toronto, Canada. Association for Computational Linguistics.
• Nafise Sadat Moosavi, Iryna Gurevych, Yufang Hou, Gyuwan Kim, Young Jin Kim, Tal Schuster, and Ameeta Agrawal. 2023. Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP). Association for Computational Linguistics, Toronto, Canada (Hybrid), edition.
• Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Şahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart De Castilho, Iryna Gurevych. 2023. Lessons Learned from a Citizen Science Project for Natural Language Processing. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3594–3608, Dubrovnik, Croatia. Association for Computational Linguistics
• Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi, Iryna Gurevych. 2023. Transformers with Learnable Activation Functions. In Findings of the Association for Computational Linguistics: EACL 2023, pages 2382–2398, Dubrovnik, Croatia. Association for Computational Linguistics.

2022

• Doan Nam Long Vu, Nafise Sadat Moosavi, Steffen Eger. 2022. Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust?. Proceedings of the 29th International Conference on Computational Linguistics.
• Haixia Chai, Nafise Sadat Moosavi, Iryna Gurevych, Michael Strube. 2022. Evaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the Art. Proceedings of the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference.
• Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych. 2022. Adaptable Adapters. Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
• Prasetya Utama, Joshua Bambrick, Nafise Sadat Moosavi, Iryna Gurevych. 2022. Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization. Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
• Juntao Yu, Sopan Khosla, Nafise Sadat Moosavi, Silviu Paun, Sameer Pradhan and Massimo Poesio. 2022. The Universal Anaphora Scorer. Proceedings of the Thirteenth Language Resources and Evaluation Conference.

2021

• Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych. 2021. SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2).
• Prasetya Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych. 2021. Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
• Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio. 2021. Stay Together: A System for Single and Split-antecedent Anaphora Resolution. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
• Nafise Sadat Moosavi, Iryna Gurevych, Angela Fan, Thomas Wolf, Yufang Hou, Ana Marasović, Sujith Ravi. 2021. Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing.
• Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych. 2021. Coreference Reasoning in Machine Reading Comprehension. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.

2020

• Nafise Sadat Moosavi, Angela Fan, Vered Shwartz, Goran Glavaš, Shafiq Joty, Alex Wang, Thomas Wolf. 2020. Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing.
• Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio. 2020. Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. Proceedings of the 28th International Conference on Computational Linguistics.
• Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych. 2020. Improving QA Generalization by Concurrent Modeling of Multiple Biases. Findings of the Association for Computational Linguistics: EMNLP 2020.
• Nafise Sadat Moosavi, Marcel de Boer, Prasetya Ajie Utama, Iryna Gurevych. 2020. Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures. ArXiv e-prints.
• Prasetya Ajie Utama,** Nafise Sadat Moosavi**, Iryna Gurevych. 2020. Towards Debiasing NLU Models from Unknown Biases. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).
• Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych. 2020. Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

2019

• Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych. 2019. Neural Duplicate Question Detection without Labeled Training Data. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP).
• Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, Iryna Gurevych. 2019. Improving generalization by incorporating coverage in natural language inference. ArXiv e-prints.
• Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych. 2019. COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01).
• Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube. 2019. Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

2018

• Nafise Sadat Moosavi, Michael Strube. 2018. Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing.
• Massimo Poesio, Yulia Grishina, Varada Kolhatkar, Nafise Sadat Moosavi, Ina Roesiger, Adam Roussel, Fabian Simonjetz, Alexandra Uma, Olga Uryupina, Juntao Yu, Heike Zinsmeister. 2018. Anaphora Resolution with the ARRAU Corpus. Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference.

2017

• Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube. 2017. Revisiting Selectional Preferences for Coreference Resolution. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing.
• Nafise Sadat Moosavi, Michael Strube. 2017. Lexical Features in Coreference Resolution: To be Used With Caution. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).
• Nafise Sadat Moosavi, Michael Strube. 2017. Use Generalized Representations, But Do Not Forget Surface Features. Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017).

2016

• Nafise Sadat Moosavi, Michael Strube. 2016. Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
• Nafise Sadat Moosavi, Michael Strube. 2016. Search Space Pruning: A Simple Solution for Better Coreference Resolvers. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

2014

• Nafise Sadat Moosavi, Michael Strube. 2014. Unsupervised Coreference Resolution by Utilizing the Most Informative Relations. Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers.

PhD Thesis

• Robustness in Coreference Resolution