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Communication Dans Un Congrès Année : 2023

Exploring synonymy relation between multi-word terms in distributional semantic models

Résumé

Terminology describes the knowledge structure of a domain through the relationships between its terms. However, relations between multi-word terms (MWTs) are often underrepresented in terminology resources. Moreover, most of the work on this issue concerns the relations between simple terms (STs). In this paper, we explore the ability of distributional semantic models (DSMs) to capture synonymy between MWTs by lexical substitution based and analogy based methods. We evaluated our methods on the English and French MWTs of the environmental domain. Our experiments show that the results obtained using analogy in static word embeddings are globally better than the ones obtained using lexical substitution in pre-trained contextual models.
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Dates et versions

hal-04084572 , version 1 (28-04-2023)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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Yizhe Wang, Béatrice Daille, Nabil Hathout. Exploring synonymy relation between multi-word terms in distributional semantic models. 10th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguisitics (LTC'23), Uniwersyfet im. Adama Mickiewicza w Poznanalu, Apr 2023, Poznan, Poland. pp.331-336, ⟨10.14746/amup.9788323241775⟩. ⟨hal-04084572⟩
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