Abstract
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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CITATION STYLE
Soler, A. G., Labeau, M., & Clavel, C. (2023). Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 50–63). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.sicon-1.6
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