@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.",
}

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.
Gar{\'\i} Soler, Aina Labeau, Matthieu Clavel, Chlo{\'e}
Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations