@inproceedings{gari-soler-etal-2025-toward,
    title = "Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation",
    author = "Gar{\'i} Soler, Aina  and
      Labeau, Matthieu  and
      Clavel, Chlo{\'e}",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.findings-emnlp.1337/",
    doi = "10.18653/v1/2025.findings-emnlp.1337",
    pages = "24580--24596",
    ISBN = "979-8-89176-335-7",
    abstract = "Word Meaning Negotiations (WMN) are sequences in conversation where speakers collectively discuss and shape word meaning. These exchanges can provide insight into conversational dynamics and word-related misunderstandings, but they are hard to find in corpora. In order to facilitate data collection and speed up the WMN annotation process, we introduce the task of detecting WMN indicators {--} utterances where a speaker signals the need to clarify or challenge word meaning. We train a wide range of models and reveal the difficulty of the task. Our models have better precision than previous regular-expression based approaches and show some generalization abilities, but have moderate recall. However, this constitutes a promising first step toward an iterative process for obtaining more data."
}