@inproceedings{gari-soler-etal-2023-measuring,
title = "Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations",
author = "Gar{\'i} Soler, Aina and
Labeau, Matthieu and
Clavel, Chlo{\'e}",
editor = "Chawla, Kushal and
Shi, Weiyan",
booktitle = "Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.sicon-1.6/",
doi = "10.18653/v1/2023.sicon-1.6",
pages = "50--63",
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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<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.</abstract>
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%0 Conference Proceedings
%T Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations
%A Garí Soler, Aina
%A Labeau, Matthieu
%A Clavel, Chloé
%Y Chawla, Kushal
%Y Shi, Weiyan
%S Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F gari-soler-etal-2023-measuring
%X 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.
%R 10.18653/v1/2023.sicon-1.6
%U https://aclanthology.org/2023.sicon-1.6/
%U https://doi.org/10.18653/v1/2023.sicon-1.6
%P 50-63
Markdown (Informal)
[Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations](https://aclanthology.org/2023.sicon-1.6/) (Garí Soler et al., SICon 2023)
ACL