Publications

• Anh Dang, Rick Nouwen, & Massimo Poesio  (2025). Investigating Ambiguous Plural Reference in Large Language Models. To appear in Proceedings of Computational Linguistics in the Netherlands (CLIN). 

• Hugh Mee Wong, Rick Nouwen, & Albert Gatt (2025). VAQUUM: Are Vague Quantifiers Grounded in Visual Data? To appear in Proceedings of the 63d Conference of the Association for Computational Linguistics (ACL). Also: arXiv preprint arXiv:2502.11874.

• Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro, Massimo Poesio, Ayoub Bagheri & Anastasia Giachanou

(2025).  Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation.  To appear in Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP) at ACL. 

• Yupei Du, Yingjin Song, Hugh Mee Wong, Daniil Ignatev, Albert Gatt, Dong Nguyen, (2025). Disentangling the Roles of Representation and Selection in Data Pruning. To appear in: Proceedings of the 63d Conference of the Association for Computational Linguistics (ACL).

• Daniil Ignatev, Denis Paperno, Massimo Poesio (2025). Annotator disagreement in RST annotation schemes. Society for Computation in Linguistics 8(1): 7

• Maja Pavlovic, Massimo Poesio (2024). Understanding The Effect Of Temperature On Alignment With Human Opinions. AFME workshop at Neurips 2024

• Andrea Bruera, Farbod Zamani, Massimo Poesio (2024). Polysemy through the lens of psycholinguistic variables: a dataset and an evaluation of static and contextualized language models. Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (* SEM 2024)

• Maja Pavlovic, Massimo Poesio (2024). The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation. Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024

• Giulia Rizzi, Elisa Leonardelli, Massimo Poesio, Alexandra Uma, Maja Pavlovic, Silviu Paun, Paolo Rosso, Elisabetta Fersini (2024). Soft metrics for evaluation with disagreements: an assessment. Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives)@ LREC-COLING 2024. 

• Janosch Haber, Massimo Poesio (2024). Polysemy—evidence from linguistics, behavioral science, and contextualized language models. Computational Linguistics 50 (1), 351-417

• Juntao Yu, Silviu Paun, Maris Camilleri, Paloma Carretero Garcia, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio (2023). Aggregating crowdsourced and automatic judgments to scale up a corpus of anaphoric reference for fiction and wikipedia texts. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL).

• Elisa Leonardelli, Alexandra Uma, Gavin Abercrombie, Dina Almanea, Valerio Basile, Tommaso Fornaciari, Barbara Plank, Verena Rieser, Massimo Poesio (2023). SemEval-2023 task 11: Learning with disagreements (LeWiDi). Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)

• Derya Cokal, Ruth Filik, Patrick Sturt, Massimo Poesio (2023). Anaphoric reference to mereological entities. Discourse Processes 60 (3), 202-223