Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations - Archive ouverte HAL
Communication Dans Un Congrès Année : 2023

Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations

Résumé

Dialog participants sometimes align their linguistic styles, e.g., they use the same words and syntactic constructions as their interlocutors. We propose to investigate the notion of lexico-semantic alignment: to what extent do speakers convey the same meaning when they use the same words? We design measures of lexico-semantic alignment relying on contextualized word representations. We show that they reflect interesting semantic differences between the two sides of a debate and that they can assist in the task of debate’s winner prediction.
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Dates et versions

hal-04593478 , version 1 (29-05-2024)

Identifiants

Citer

Aina Garí Soler, Matthieu Labeau, Chloé Clavel. Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations. Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023), Jul 2023, Toronto, Canada. pp.50-63, ⟨10.18653/v1/2023.sicon-1.6⟩. ⟨hal-04593478⟩
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