Publications

2026

• Hugh Mee Wong, Rick Nouwen, and Albert Gatt. 2026. When Models Decide and When They Bind: A Two-Stage Computation for Multiple-Choice Question Answering. In Findings of the Association for Computational Linguistics: ACL 2026.

• Nan Li, Albert Gatt and Massimo Poesio  (2026). Seeing Is Not Sharing: Some Vision-Language Models Overestimate Common Ground in Asymmetric Dialogue. To appear in the Proceedings of the 27th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2026).

• Nan Li, Albert Gatt and Massimo Poesio  (2026). Grounded Misunderstandings in Asymmetric Dialogue: A Perspectivist Annotation Scheme for MapTask. Proceedings of the 15th Language Resources and Evaluation Conference (LREC 2026).

• Yung, F., Ignatev, D., Scholman, M., Demberg, V., & Poesio, M. (2026). Human Label Variation in Implicit Discourse Relation Recognition. In Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026) (pp. 4942–4954). European Language Resources Association (ELRA).

• Daniil Ignatev, Denis Paperno, and Massimo Poesio. 2026. Dataset Cartography for Implicit Discourse Relation Recognition: Promises and Pitfalls. In Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026), pages 53–64, San Diego, California, USA. Association for Computational Linguistics.

2025

• Anh Dang, Rick Nouwen, & Massimo Poesio  (2025). Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference. To appear in Proceedings of BlackBox NLP @ EMNLP 

• Ignatev, D., Paperno, D., & Poesio, M. (2025). Hypernetworks for Perspectivist Adaptation. In Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP (pp. 111-122).

• Elisa Leonardelli, Silvia Casola, Siyao Peng, Giulia Rizzi, Valerio Basile, Elisabetta Fersini, Diego Frassinelli, Hyewon Jang, Maja Pavlovic, Barbara Plank and Massimo Poesio  (2025). LeWiDi-2025 at NLPerspectives: The Third Edition of the Learning with Disagreements Shared Task To appear in LeWiDi 2025 at NLPerspectives (@ EMNLP 2025)

• Daniil Ignatev, Nan Li, Hugh Mee Wong, Anh Dang and Shane Kaszefski Yaschuk. (2025). Demeva at LeWiDi-2025: Modeling perspectives with in-context learning and label distribution learning. In Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP (pp. 171-181).

• Sanne Hoeken, Ozge Alaçam, Dong Nguyen, Massimo Poesio and Sina Zarrieß (2025). Not Just Who or What: Modeling the Interaction of Linguistic and Annotator Variation in Hateful Word Interpretation. Proc. of 16th International Conference on Computational Semantics (IWCS).

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

• Hugh Mee Wong, Rick Nouwen, & Albert Gatt (2025). VAQUUM: Are Vague Quantifiers Grounded in Visual Data? Proceedings of the 63d Conference of the Association for Computational Linguistics (ACL). 11966–11982. DOI: 10.18653/v1/2025.findings-acl.619. 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.  Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP) at ACL.  92-104

• 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

2024

• 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

2023

• 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