Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/119980
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dc.contributorDepartment of Language Science and Technology-
dc.creatorRadaelli, M-
dc.creatorChersoni, E-
dc.creatorLenci, A-
dc.creatorBaggio, G-
dc.date.accessioned2026-07-17T09:20:02Z-
dc.date.available2026-07-17T09:20:02Z-
dc.identifier.isbn979-8-89176-271-8-
dc.identifier.urihttp://hdl.handle.net/10397/119980-
dc.descriptionThe 29th Conference on Computational Natural Language Learning (CoNLL 2025), Vienna, Austria, July 31- August 1, 2025en_US
dc.language.isoenen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.rights©2025 Association for Computational Linguisticsen_US
dc.rightsLicensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)en_US
dc.rightsThe following publication Matteo Radaelli, Emmanuele Chersoni, Alessandro Lenci, and Giosuè Baggio. 2025. Compositionality and Event Retrieval in Complement Coercion: A Study of Language Models in a Low-resource Setting. In Proceedings of the 29th Conference on Computational Natural Language Learning, pages 469–480, Vienna, Austria. Association for Computational Linguistics is available at https://aclanthology.org/2025.conll-1.31/.en_US
dc.titleCompositionality and event retrieval in complement coercion : a study of language models in a low-resource settingen_US
dc.typeConference Paperen_US
dc.identifier.spage469-
dc.identifier.epage480-
dc.identifier.doi10.18653/v1/2025.conll-1.31-
dcterms.abstractIn sentences such as John began the book, the complement noun, lexically denoting an entity, is interpreted as an event. This phenomenon is known in linguistics as complement coercion: the event associated with the verb is not overtly expressed but can be recovered from the meanings of other constituents, context and world knowledge. We investigate whether language models (LMs) can exploit sentence structure and compositional meaning to recover plausible events in complement coercion. For the first time, we tested different LMs in Norwegian, a low-resource language with high syntactic variation in coercion constructions across aspectual verbs. Results reveal that LMs struggle with retrieving plausible events and with ranking them above less plausible ones. Moreover, we found that LMs do not exploit the compositional properties of coercion sentences in their predictions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn Proceedings of the 29th Conference on Computational Natural Language Learning, p. 469-480. Kerrville : Association for Computational Linguistics, 2025-
dcterms.issued2025-
dc.relation.ispartofbookProceedings of the 29th Conference on Computational Natural Language Learning-
dc.relation.conferenceConference on Computational Natural Language Learning [CoNLL]-
dc.identifier.artn469-
dc.description.validate202607 bcwh-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera4672en_US
dc.identifier.SubFormID53551en_US
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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