Dr Nafise Sadat Moosavi

All publications

Journal articles

• Paun S, Yu J, Moosavi NS & Poesio M () Scoring Coreference Chains with Split-Antecedent Anaphors. Dialogue & Discourse, 14(2), 1-48.
• Dhole K, Gangal V, Gehrmann S, Gupta A, Li Z, Mahamood S, Mahadiran A, Mille S, Shrivastava A, Tan S , Tongshang Wu et al () NL-Augmenter . Northern European Journal of Language Technology, 9(1).

Conference proceedings papers

• Jan-Christoph K, Lee J-U, Stowe K, Şahin G, Moosavi NS, Bates L, Petrak D, Eckart De Castilho R & Gurevych I (2023) Lessons Learned from a Citizen Science Project for Natural Language Processing. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (pp 3594-3608), 2 May 2023 - 6 May 2023.
• Fang H, Lee J-U, Moosavi NS & Gurevych I (2023) Transformers with Learnable Activation Functions. Findings of the Association for Computational Linguistics: EACL 2023, 2 May 2023 - 6 May 2023.
• Sivakumar J & Moosavi NS (2023) FERMAT: An Alternative to Accuracy for Numerical Reasoning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), July 2023 - July 2023.
• Petrak D, Moosavi NS & Gurevych I (2023) Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models. Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), July 2023 - July 2023.
• Klie JC, Lee JU, Stowe K, Şahin GG, Moosavi NS, Bates L, Petrak D, de Castilho RE & Gurevych I (2023) Lessons Learned from a Citizen Science Project for Natural Language Processing. EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp 3576-3590)
• Fang H, Lee JU, Moosavi NS & Gurevych I (2023) Transformers with Learnable Activation Functions. EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023 (pp 2337-2353)
• Petrak D, Moosavi N, Tian Y, Rozanov N & Gurevych I (2023) Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, December 2023 - December 2023.
• Vu DNL, Moosavi NS & Eger S (2022) Layer or representation space: what makes BERT-based evaluation metrics robust?. Proceedings of the 29th International Conference on Computational Linguistics, Vol. 29(1) (pp 3401-3411). Gyeongju, Republic of Korea, 12 October 2022 - 12 October 2022.
• Yu J, Khosla S, Moosavi NS, Paun S, Pradhan S & Poesio M (2022) The Universal Anaphora Scorer. 2022 Language Resources and Evaluation Conference, LREC 2022 (pp 4873-4883)
• Moosavi NS, Rücklé A, Roth D & Gurevych I (2021) SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, Vol. 1, 6 December 2021 - 11 December 2021.
• Wu M, Moosavi NS, Roth D & Gurevych I (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 (Volume 1: Long Papers), August 2021 - August 2021.
• Utama P, Moosavi NS, Sanh V & Gurevych I (2021) Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, November 2021 - November 2021.
• Yu J, Moosavi NS, Paun S & Poesio M (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, June 2021 - June 2021.
• Utama PA, Moosavi NS & Gurevych I (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, July 2020 - July 2020.
• Wu M, Moosavi NS, Rücklé A & Gurevych I (2020) Improving QA Generalization by Concurrent Modeling of Multiple Biases. Findings of the Association for Computational Linguistics: EMNLP 2020, November 2020 - November 2020.
• Utama PA, Moosavi NS & Gurevych I (2020) Towards Debiasing NLU Models from Unknown Biases. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020 - November 2020.
• Yu J, Moosavi NS, Paun S & Poesio M (2020) Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. Proceedings of the 28th International Conference on Computational Linguistics, December 2020 - December 2020.
• Rücklé A, Moosavi NS & Gurevych I (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), November 2019 - November 2019.
• Moosavi NS, Born L, Poesio M & Strube M (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, July 2019 - July 2019.
• Poesio M, Grishina Y, Kolhatkar V, Moosavi N, Roesiger I, Roussel A, Simonjetz F, Uma A, Uryupina O, Yu J & Zinsmeister H (2018) Anaphora Resolution with the ARRAU Corpus. Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference, June 2018 - June 2018.
• Moosavi NS & Strube M (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, October 2018 - November 2018.
• Heinzerling B, Moosavi NS & Strube M (2017) Revisiting Selectional Preferences for Coreference Resolution. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, September 2017 - September 2017.
• Moosavi NS & Strube M (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), July 2017 - July 2017.
• Moosavi NS & Strube M (2017) Use Generalized Representations, But Do Not Forget Surface Features. Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017), April 2017 - April 2017.
• Moosavi NS & Strube M (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), August 2016 - August 2016.
• Moosavi NS & Strube M (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, June 2016 - June 2016.
• Moosavi NS & GhassemSani G (2014) Unsupervised Coreference Resolution Using a Graph Labeling Approach. Human Language Technology Challenges for Computer Science and Linguistics (pp 93-103), 25 November 2011 - 27 November 2011.
• Moosavi NS & Strube M (2014) Unsupervised coreference resolution by utilizing the most informative relations. COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers (pp 644-655)
• Rezaei M, Moosavi NS, Nemati H & Azmi R (2010) TCvisor: A hypervisor level secure storage. 2010 International Conference for Internet Technology and Secured Transactions, ICITST 2010
• Delbari Z, Moosavi NS & Pilehvar MT () Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales. Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38(16) (pp 17889-17897)
• Utama PA, Bambrick J, Moosavi NS & Gurevych I () 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
• Moosavi NS, Delfosse Q, Kersting K & Iryna G () Adaptable Adapters. Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics
• Rücklé A, Moosavi NS & Gurevych I () COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33 (pp 6932-6939) View this article in WRRO

Preprints

• Zhang H, Harris L & Moosavi NS (2024) Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language, arXiv.
• Pastorino V, Sivakumar JA & Moosavi NS (2024) Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Bias Detection, arXiv.
• Liu Y, Moosavi NS & Lin C (2023) LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores, arXiv.
• Petrak D, Moosavi NS, Tian Y, Rozanov N & Gurevych I (2023) Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?, arXiv.
• Sivakumar JA & Moosavi NS (2023) FERMAT: An Alternative to Accuracy for Numerical Reasoning, arXiv.
• Klie J-C, Lee J-U, Stowe K, Şahin GG, Moosavi NS, Bates L, Petrak D, de Castilho RE & Gurevych I (2023) Lessons Learned from a Citizen Science Project for Natural Language Processing, arXiv.
• Vu DNL, Moosavi NS & Eger S (2022) Layer or Representation Space: What makes BERT-based Evaluation Metrics Robust?, arXiv.
• Fang H, Lee J-U, Moosavi NS & Gurevych I (2022) Transformers with Learnable Activation Functions, arXiv.
• Paun S, Yu J, Moosavi NS & Poesio M (2022) Scoring Coreference Chains with Split-Antecedent Anaphors, arXiv.
• Petrak D, Moosavi NS & Gurevych I (2022) Improving the Numerical Reasoning Skills of Pretrained Language Models, arXiv.
• Utama PA, Bambrick J, Moosavi NS & Gurevych I (2022) Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization, arXiv.
• Dhole KD, Gangal V, Gehrmann S, Gupta A, Li Z, Mahamood S, Mahendiran A, Mille S, Srivastava A, Tan S , Wu T et al (2021) NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation, arXiv.
• Moosavi NS, de Boer M, Utama PA & Gurevych I (2020) Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures, arXiv.
• Moosavi NS, Utama PA, Rücklé A & Gurevych I (2019) Improving Generalization by Incorporating Coverage in Natural Language Inference, arXiv.