SANDWiCH: Semantical analysis of neighbours for disambiguating words in context ad Hoc

Olivares, Daniel Guzman, Quijano, Lara and Liberatore, Federico ORCID: https://orcid.org/0000-0001-9900-5108 2025. SANDWiCH: Semantical analysis of neighbours for disambiguating words in context ad Hoc. Presented at: Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, New Mexico, USA, 29 April - 4 May 2025. Published in: Chiruzzo, Luis, Ritter, Alan and Wang, Lu eds. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. , vol.1 ACL, pp. 7019-7033.

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Abstract

The rise of generative chat-based Large Language Models (LLMs) over the past two years has spurred a race to develop systems that promise near-human conversational and reasoning experiences. However, recent studies indicate that the language understanding offered by these models remains limited and far from human-like performance, particularly in grasping the contextual meanings of words—an essential aspect of reasoning. In this paper, we present a simple yet computationally efficient framework for multilingual Word Sense Disambiguation (WSD). Our approach reframes the WSD task as a cluster discrimination analysis over a semantic network refined from BabelNet using group algebra. We validate our methodology across multiple WSD benchmarks, achieving a new state of the art for all languages and tasks, as well as in individual assessments by part of speech. Notably, our model significantly surpasses the performance of current alternatives, even in low-resource languages, while reducing the parameter count by 72%.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	ACL
ISBN:	979-8-89176-189-6
Date of First Compliant Deposit:	7 May 2025
Date of Acceptance:	23 January 2025
Last Modified:	13 May 2025 09:50
URI:	https://orca.cardiff.ac.uk/id/eprint/178131

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