TCvisor: A hypervisor level secure storage. - Masoud Rezaei; Nafise Sadat Moosavi; Hamed Nemati; Reza Azmi (ICITST, 2010)

Unsupervised Coreference Resolution Using a Graph Labeling Approach. - Nafise Sadat Moosavi; Gholamreza Ghassem-Sani (LTC, 2011)

Unsupervised Coreference Resolution by Utilizing the Most Informative Relations. - Nafise Sadat Moosavi; Michael Strube 001 (COLING, 2014)

Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric. - Nafise Sadat Moosavi; Michael Strube 001 (ACL (1), 2016)

Search Space Pruning: A Simple Solution for Better Coreference Resolvers. - Nafise Sadat Moosavi; Michael Strube 001 (HLT-NAACL, 2016)

Lexical Features in Coreference Resolution: To be Used With Caution. - Nafise Sadat Moosavi; Michael Strube 001 (ACL (2), 2017)

Revisiting Selectional Preferences for Coreference Resolution. - Benjamin Heinzerling; Nafise Sadat Moosavi; Michael Strube 001 (EMNLP, 2017)

Use Generalized Representations, But Do Not Forget Surface Features. - Nafise Sadat Moosavi; Michael Strube 001 (CoRR, 2017)

Enhancing the Input Representation: From Complexity to Simplicity. - Nafise Sadat Moosavi; Michael Strube 001 (CoRR, 2017)

Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers. - Nafise Sadat Moosavi; Michael Strube 001 (EMNLP, 2018)

COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. - Andreas Rücklé; Nafise Sadat Moosavi; Iryna Gurevych (AAAI, 2019)

Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection. - Nafise Sadat Moosavi; Leo Born; Massimo Poesio; Michael Strube 001 (ACL (1), 2019)

Neural Duplicate Question Detection without Labeled Training Data. - Andreas Rücklé; Nafise Sadat Moosavi; Iryna Gurevych (EMNLP/IJCNLP (1), 2019)

Improving Generalization by Incorporating Coverage in Natural Language Inference. - Nafise Sadat Moosavi; Prasetya Ajie Utama; Andreas Rücklé; Iryna Gurevych (CoRR, 2019)

Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. - Prasetya Ajie Utama; Nafise Sadat Moosavi; Iryna Gurevych (ACL, 2020)

Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. - Juntao Yu; Nafise Sadat Moosavi; Silviu Paun; Massimo Poesio (COLING, 2020)

Towards Debiasing NLU Models from Unknown Biases. - Prasetya Ajie Utama; Nafise Sadat Moosavi; Iryna Gurevych (EMNLP (1), 2020)

Improving QA Generalization by Concurrent Modeling of Multiple Biases. - Mingzhu Wu; Nafise Sadat Moosavi; Andreas Rücklé; Iryna Gurevych (EMNLP (Findings), 2020)

Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures. - Nafise Sadat Moosavi; Marcel de Boer; Prasetya Ajie Utama; Iryna Gurevych (CoRR, 2020)

Robustness in Coreference Resolution - Nafise Sadat Moosavi (2020)

Coreference Reasoning in Machine Reading Comprehension. - Mingzhu Wu; Nafise Sadat Moosavi; Dan Roth 001; Iryna Gurevych (ACL/IJCNLP (1), 2021)

Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. - Prasetya Ajie Utama; Nafise Sadat Moosavi; Victor Sanh; Iryna Gurevych (EMNLP (1), 2021)

Stay Together: A System for Single and Split-antecedent Anaphora Resolution. - Juntao Yu; Nafise Sadat Moosavi; Silviu Paun; Massimo Poesio (NAACL-HLT, 2021)

SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. - Nafise Sadat Moosavi; Andreas Rücklé; Dan Roth 001; Iryna Gurevych (NeurIPS Datasets and Benchmarks, 2021)

Learning to Reason for Text Generation from Scientific Tables. - Nafise Sadat Moosavi; Andreas Rücklé; Dan Roth 001; Iryna Gurevych (CoRR, 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; et al. (CoRR, 2021)

Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust? - Doan Nam Long Vu; Nafise Sadat Moosavi; Steffen Eger (COLING, 2022)

The Universal Anaphora Scorer. - Juntao Yu; Sopan Khosla; Nafise Sadat Moosavi; Silviu Paun; Sameer Pradhan; Massimo Poesio (LREC, 2022)

Adaptable Adapters. - Nafise Sadat Moosavi; Quentin Delfosse; Kristian Kersting; Iryna Gurevych (NAACL-HLT, 2022)

Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization. - Prasetya Ajie Utama; Joshua Bambrick; Nafise Sadat Moosavi; Iryna Gurevych (NAACL-HLT, 2022)

Improving the Numerical Reasoning Skills of Pretrained Language Models. - Dominic Petrak; Nafise Sadat Moosavi; Iryna Gurevych (CoRR, 2022)

FERMAT: An Alternative to Accuracy for Numerical Reasoning. - Jasivan Alex Sivakumar; Nafise Sadat Moosavi (ACL (1), 2023)

Transformers with Learnable Activation Functions. - Haishuo Fang; Ji-Ung Lee; Nafise Sadat Moosavi; Iryna Gurevych (EACL (Findings), 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 (EACL, 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 (EMNLP, 2023)

Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models. - Dominic Petrak; Nafise Sadat Moosavi; Iryna Gurevych (*SEM@ACL, 2023)

Scoring Coreference Chains with Split-Antecedent Anaphors. - Silviu Paun; Juntao Yu; Nafise Sadat Moosavi; Massimo Poesio (Dialogue Discourse, 2023)

Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales. - Zahra Delbari; Nafise Sadat Moosavi; Mohammad Taher Pilehvar (AAAI, 2024)

LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores. - Yiqi Liu; Nafise Sadat Moosavi; Chenghua Lin (ACL (Findings), 2024)

Universal Anaphora: The First Three Years. - Massimo Poesio; Maciej Ogrodniczuk; Vincent Ng 001; Sameer Pradhan; Juntao Yu; Nafise Sadat Moosavi; Silviu Paun; Amir Zeldes; Anna Nedoluzhko; Michal Novák; Martin Popel; Zdenek Zabokrtský; et al. (LREC/COLING, 2024)

Blending Social Interaction Realms: Harmonizing Online and Offline Interactions through Augmented Reality. - Guanxuan Jiang; Yuyang Wang 002; Yue Li 023; Nafise Sadat Moosavi; Pan Hui 001 (VINCI, 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)

Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language. - Hezhao Zhang; Lasana T. Harris; Nafise Sadat Moosavi (CoRR, 2024)

Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training. - Mugdha Pandya; Nafise Sadat Moosavi; Diana Maynard (CoRR, 2024)

Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context. - Maggie Mi; Aline Villavicencio; Nafise Sadat Moosavi (ACL (1), 2025)

MultiHoax: A Dataset of Multi-hop False-premise questions. - Mohammadamin Shafiei; Hamidreza Saffari; Nafise Sadat Moosavi (ACL (Findings), 2025)

How to Leverage Digit Embeddings to Represent Numbers? - Jasivan Alex Sivakumar; Nafise Sadat Moosavi (COLING, 2025)

Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation. - Steffen Eger; Yong Cao 001; Jennifer D'Souza 001; Andreas Geiger 001; Christian Greisinger; Stephanie Gross; Yufang Hou 001; Brigitte Krenn; Anne Lauscher; Yizhi Li; Chenghua Lin; Nafise Sadat Moosavi; et al. (CoRR, 2025)

Exploring Gender Disparities in Automatic Speech Recognition Technology. - Hend Elghazaly; Bahman Mirheidari; Nafise Sadat Moosavi; Heidi Christensen (CoRR, 2025)

ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation. - Xiao Wang; Daniil Larionov; Siwei Wu; Yiqi Liu; Steffen Eger; Nafise Sadat Moosavi; Chenghua Lin (CoRR, 2025)

Frame In, Frame Out: Do LLMs Generate More Biased News Headlines than Humans? - Valeria Pastorino; Nafise Sadat Moosavi (CoRR, 2025)

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning. - Mohammadamin Shafiei; Hamidreza Saffari; Nafise Sadat Moosavi (CoRR, 2025)