Nafise Sadat Moosavi

According to our database, Nafise Sadat Moosavi authored at least 45 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context.

Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi

CoRR, 2024

How to Leverage Digit Embeddings to Represent Numbers?

Jasivan Alex Sivakumar, Nafise Sadat Moosavi

CoRR, 2024

Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language.

Hezhao Zhang, Lasana T. Harris, Nafise Sadat Moosavi

CoRR, 2024

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Bias Detection.

Valeria Pastorino, Jasivan Alex Sivakumar, Nafise Sadat Moosavi

CoRR, 2024

Blending Social Interaction Realms: Harmonizing Online and Offline Interactions through Augmented Reality.

Guanxuan Jiang, Yuyang Wang, Yue Li, Nafise Sadat Moosavi, Pan Hui

Proceedings of the 17th International Symposium on Visual Information Communication and Interaction, 2024

Universal Anaphora: The First Three Years.

Massimo Poesio, Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Amir Zeldes, Anna Nedoluzhko, Michal Novák, Martin Popel, Zdenek Zabokrtský, Daniel Zeman

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores.

Yiqi Liu, Nafise Sadat Moosavi, Chenghua Lin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales.

Zahra Delbari, Nafise Sadat Moosavi, Mohammad Taher Pilehvar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Scoring Coreference Chains with Split-Antecedent Anaphors.

Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, Massimo Poesio

Dialogue Discourse, September, 2023

Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models.

Dominic Petrak, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Learning From Free-Text Human Feedback - Collect New Datasets Or Extend Existing Ones?

Dominic Petrak, Nafise Sadat Moosavi, Ye Tian, Nikolai Rozanov, Iryna Gurevych

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Lessons Learned from a Citizen Science Project for Natural Language Processing.

Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Gül Sahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart de Castilho, Iryna Gurevych

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Transformers with Learnable Activation Functions.

Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

FERMAT: An Alternative to Accuracy for Numerical Reasoning.

Jasivan Alex Sivakumar, Nafise Sadat Moosavi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Improving the Numerical Reasoning Skills of Pretrained Language Models.

Dominic Petrak, Nafise Sadat Moosavi, Iryna Gurevych

CoRR, 2022

Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization.

Prasetya Ajie Utama, Joshua Bambrick, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Adaptable Adapters.

Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

The Universal Anaphora Scorer.

Juntao Yu, Sopan Khosla, Nafise Sadat Moosavi, Silviu Paun, Sameer Pradhan, Massimo Poesio

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust?

Doan Nam Long Vu, Nafise Sadat Moosavi, Steffen Eger

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Learning to Reason for Text Generation from Scientific Tables.

Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych

CoRR, 2021

SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables.

Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Stay Together: A System for Single and Split-antecedent Anaphora Resolution.

Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning.

Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Coreference Reasoning in Machine Reading Comprehension.

Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Robustness in Coreference Resolution

Nafise Sadat Moosavi

PhD thesis, 2020

Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures.

Nafise Sadat Moosavi, Marcel de Boer, Prasetya Ajie Utama, Iryna Gurevych

CoRR, 2020

Improving QA Generalization by Concurrent Modeling of Multiple Biases.

Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Towards Debiasing NLU Models from Unknown Biases.

Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution.

Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance.

Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Generalization by Incorporating Coverage in Natural Language Inference.

Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, Iryna Gurevych

CoRR, 2019

Neural Duplicate Question Detection without Labeled Training Data.

Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection.

Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data.

Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers.

Nafise Sadat Moosavi, Michael Strube

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Enhancing the Input Representation: From Complexity to Simplicity.

Nafise Sadat Moosavi, Michael Strube

CoRR, 2017

Use Generalized Representations, But Do Not Forget Surface Features.

Nafise Sadat Moosavi, Michael Strube

CoRR, 2017

Revisiting Selectional Preferences for Coreference Resolution.

Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Lexical Features in Coreference Resolution: To be Used With Caution.

Nafise Sadat Moosavi, Michael Strube

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Search Space Pruning: A Simple Solution for Better Coreference Resolvers.

Nafise Sadat Moosavi, Michael Strube

Proceedings of the NAACL HLT 2016, 2016

Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric.

Nafise Sadat Moosavi, Michael Strube

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014

Unsupervised Coreference Resolution by Utilizing the Most Informative Relations.

Nafise Sadat Moosavi, Michael Strube

Proceedings of the COLING 2014, 2014

2011

Unsupervised Coreference Resolution Using a Graph Labeling Approach.

Nafise Sadat Moosavi, Gholamreza Ghassem-Sani

Proceedings of the Human Language Technology Challenges for Computer Science and Linguistics, 2011

2010

TCvisor: A hypervisor level secure storage.

Masoud Rezaei, Nafise Sadat Moosavi, Hamed Nemati, Reza Azmi

Proceedings of the 5th International Conference for Internet Technology and Secured Transactions, 2010