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2020 – today
- 2024
[c31]Zahra Delbari, Nafise Sadat Moosavi, Mohammad Taher Pilehvar:
Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales. AAAI 2024: 17889-17897- [c30]Yiqi Liu, Nafise Sadat Moosavi, Chenghua Lin:
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores. ACL (Findings) 2024: 12688-12701 - [c29]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:
Universal Anaphora: The First Three Years. LREC/COLING 2024: 17087-17100 - [i30]Valeria Pastorino
, Jasivan Alex Sivakumar, Nafise Sadat Moosavi:
Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Bias Detection. CoRR abs/2402.11621 (2024) - [i29]Hezhao Zhang, Lasana Harris, Nafise Sadat Moosavi:
Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language. CoRR abs/2402.13818 (2024) - [i28]Jasivan Alex Sivakumar, Nafise Sadat Moosavi:
How to Leverage Digit Embeddings to Represent Numbers? CoRR abs/2407.00894 (2024) - 2023
- [j1]Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, Massimo Poesio:
Scoring Coreference Chains with Split-Antecedent Anaphors. Dialogue Discourse 14(2): 1-48 (2023) - [c28]Jasivan Alex Sivakumar, Nafise Sadat Moosavi:
FERMAT: An Alternative to Accuracy for Numerical Reasoning. ACL (1) 2023: 15026-15043 - [c27]Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi, Iryna Gurevych:
Transformers with Learnable Activation Functions. EACL (Findings) 2023: 2337-2353 - [c26]Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Gül Sahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart de Castilho, Iryna Gurevych:
Lessons Learned from a Citizen Science Project for Natural Language Processing. EACL 2023: 3576-3590 - [c25]Dominic Petrak, Nafise Sadat Moosavi, Ye Tian, Nikolai Rozanov, Iryna Gurevych:
Learning From Free-Text Human Feedback - Collect New Datasets Or Extend Existing Ones? EMNLP 2023: 16259-16279 - [c24]Dominic Petrak, Nafise Sadat Moosavi, Iryna Gurevych:
Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models. *SEM@ACL 2023: 477-493 - [e3]Nafise Sadat Moosavi, Iryna Gurevych, Yufang Hou, Gyuwan Kim, Young Jin Kim, Tal Schuster, Ameeta Agrawal:
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023, Toronto, Canada (Hybrid), July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-79-1 [contents] - [i27]Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Gül Sahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart de Castilho, Iryna Gurevych:
Lessons Learned from a Citizen Science Project for Natural Language Processing. CoRR abs/2304.12836 (2023) - [i26]Jasivan Alex Sivakumar, Nafise Sadat Moosavi:
FERMAT: An Alternative to Accuracy for Numerical Reasoning. CoRR abs/2305.17491 (2023) - [i25]Dominic Petrak, Nafise Sadat Moosavi, Ye Tian, Nikolai Rozanov, Iryna Gurevych:
Learning From Free-Text Human Feedback - Collect New Datasets Or Extend Existing Ones? CoRR abs/2310.15758 (2023) - [i24]Yiqi Liu, Nafise Sadat Moosavi, Chenghua Lin:
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores. CoRR abs/2311.09766 (2023) - 2022
- [c23]Doan Nam Long Vu, Nafise Sadat Moosavi, Steffen Eger:
Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust? COLING 2022: 3401-3411 - [c22]Juntao Yu, Sopan Khosla, Nafise Sadat Moosavi, Silviu Paun, Sameer Pradhan, Massimo Poesio:
The Universal Anaphora Scorer. LREC 2022: 4873-4883 - [c21]Prasetya Ajie Utama, Joshua Bambrick, Nafise Sadat Moosavi, Iryna Gurevych:
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization. NAACL-HLT 2022: 2763-2776 - [c20]Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych:
Adaptable Adapters. NAACL-HLT 2022: 3742-3753 - [i23]Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych:
Adaptable Adapters. CoRR abs/2205.01549 (2022) - [i22]Prasetya Ajie Utama, Joshua Bambrick, Nafise Sadat Moosavi, Iryna Gurevych:
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization. CoRR abs/2205.06009 (2022) - [i21]Dominic Petrak, Nafise Sadat Moosavi, Iryna Gurevych:
Improving the Numerical Reasoning Skills of Pretrained Language Models. CoRR abs/2205.06733 (2022) - [i20]Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, Massimo Poesio:
Scoring Coreference Chains with Split-Antecedent Anaphors. CoRR abs/2205.12323 (2022) - [i19]Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi, Iryna Gurevych:
Transformers with Learnable Activation Functions. CoRR abs/2208.14111 (2022) - [i18]Doan Nam Long Vu, Nafise Sadat Moosavi, Steffen Eger:
Layer or Representation Space: What makes BERT-based Evaluation Metrics Robust? CoRR abs/2209.02317 (2022) - 2021
- [c19]Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. ACL/IJCNLP (1) 2021: 5768-5781 - [c18]Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych:
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. EMNLP (1) 2021: 9063-9074 - [c17]Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Stay Together: A System for Single and Split-antecedent Anaphora Resolution. NAACL-HLT 2021: 4174-4184 - [c16]Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. NeurIPS Datasets and Benchmarks 2021 - [e2]Nafise Sadat Moosavi, Iryna Gurevych, Angela Fan, Thomas Wolf, Yufang Hou, Ana Marasovic, Sujith Ravi:
Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2021, Virtual, November 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-955917-01-8 [contents] - [i17]Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Stay Together: A System for Single and Split-antecedent Anaphora Resolution. CoRR abs/2104.05320 (2021) - [i16]Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
Learning to Reason for Text Generation from Scientific Tables. CoRR abs/2104.08296 (2021) - [i15]Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych:
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. CoRR abs/2109.04144 (2021) - [i14]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:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [b1]Nafise Sadat Moosavi:
Robustness in Coreference Resolution. Heidelberg University, Germany, 2020 - [c15]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. ACL 2020: 8717-8729 - [c14]Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. COLING 2020: 6113-6125 - [c13]Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. EMNLP (Findings) 2020: 839-853 - [c12]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Towards Debiasing NLU Models from Unknown Biases. EMNLP (1) 2020: 7597-7610 - [e1]Nafise Sadat Moosavi, Angela Fan, Vered Shwartz, Goran Glavas, Shafiq R. Joty, Alex Wang, Thomas Wolf:
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-77-4 [contents] - [i13]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. CoRR abs/2005.00315 (2020) - [i12]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Towards Debiasing NLU Models from Unknown Biases. CoRR abs/2009.12303 (2020) - [i11]Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. CoRR abs/2010.03338 (2020) - [i10]Nafise Sadat Moosavi, Marcel de Boer, Prasetya Ajie Utama, Iryna Gurevych:
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures. CoRR abs/2010.12510 (2020) - [i9]Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. CoRR abs/2011.00245 (2020) - [i8]Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. CoRR abs/2012.15573 (2020)
2010 – 2019
- 2019
- [c11]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. AAAI 2019: 6932-6939 - [c10]Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube:
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection. ACL (1) 2019: 4168-4178 - [c9]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. EMNLP/IJCNLP (1) 2019: 1607-1617 - [i7]Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube:
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection. CoRR abs/1906.06703 (2019) - [i6]Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, Iryna Gurevych:
Improving Generalization by Incorporating Coverage in Natural Language Inference. CoRR abs/1909.08940 (2019) - [i5]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. CoRR abs/1911.05594 (2019) - 2018
- [c8]Nafise Sadat Moosavi, Michael Strube:
Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers. EMNLP 2018: 193-203 - 2017
- [c7]Nafise Sadat Moosavi, Michael Strube:
Lexical Features in Coreference Resolution: To be Used With Caution. ACL (2) 2017: 14-19 - [c6]Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube:
Revisiting Selectional Preferences for Coreference Resolution. EMNLP 2017: 1332-1339 - [i4]Nafise Sadat Moosavi, Michael Strube:
Use Generalized Representations, But Do Not Forget Surface Features. CoRR abs/1702.07507 (2017) - [i3]Nafise Sadat Moosavi, Michael Strube:
Lexical Features in Coreference Resolution: To be Used With Caution. CoRR abs/1704.06779 (2017) - [i2]Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube:
Revisiting Selectional Preferences for Coreference Resolution. CoRR abs/1707.06456 (2017) - [i1]Nafise Sadat Moosavi, Michael Strube:
Enhancing the Input Representation: From Complexity to Simplicity. CoRR abs/1708.00160 (2017) - 2016
- [c5]Nafise Sadat Moosavi, Michael Strube:
Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric. ACL (1) 2016 - [c4]Nafise Sadat Moosavi, Michael Strube:
Search Space Pruning: A Simple Solution for Better Coreference Resolvers. HLT-NAACL 2016: 1005-1011 - 2014
- [c3]Nafise Sadat Moosavi, Michael Strube:
Unsupervised Coreference Resolution by Utilizing the Most Informative Relations. COLING 2014: 644-655 - 2011
- [c2]Nafise Sadat Moosavi, Gholamreza Ghassem-Sani:
Unsupervised Coreference Resolution Using a Graph Labeling Approach. LTC 2011: 93-103 - 2010
- [c1]Masoud Rezaei, Nafise Sadat Moosavi, Hamed Nemati, Reza Azmi:
TCvisor: A hypervisor level secure storage. ICITST 2010: 1-9
Coauthor Index
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