Papers › SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc
SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc
Daniel Guzman-Olivares, Lara Quijano-Sanchez, Federico Liberatore
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%.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Word Sense Disambiguation | Supervised: | SANDWiCH | SemEval 2007 | 80.9 | #1 of 27 | Archive leaderboard | report |
| Word Sense Disambiguation | Supervised: | SANDWiCH | SemEval 2013 | 92.6 | #1 of 27 | Archive leaderboard | report |
| Word Sense Disambiguation | Supervised: | SANDWiCH | SemEval 2015 | 91.5 | #1 of 27 | Archive leaderboard | report |
| Word Sense Disambiguation | Supervised: | SANDWiCH | Senseval 2 | 87.8 | #1 of 27 | Archive leaderboard | report |
| Word Sense Disambiguation | Supervised: | SANDWiCH | Senseval 3 | 85.7 | #1 of 27 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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