@inproceedings{madureira-schlangen-2024-couldnt,
    title = "It Couldn`t Help but Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning",
    author = "Madureira, Brielen  and
      Schlangen, David",
    editor = "Kawahara, Tatsuya  and
      Demberg, Vera  and
      Ultes, Stefan  and
      Inoue, Koji  and
      Mehri, Shikib  and
      Howcroft, David  and
      Komatani, Kazunori",
    booktitle = "Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
    month = sep,
    year = "2024",
    address = "Kyoto, Japan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.sigdial-1.13/",
    doi = "10.18653/v1/2024.sigdial-1.13",
    pages = "149--158",
    abstract = "Active participation in a conversation is key to building common ground, since understanding is jointly tailored by producers and recipients. Overhearers are deprived of the privilege of performing grounding acts and can only conjecture about intended meanings. Still, data generation and annotation, modelling, training and evaluation of NLP dialogue models place reliance on the overhearing paradigm. How much of the underlying grounding processes are thereby forfeited? As we show, there is evidence pointing to the impossibility of properly modelling human meta-communicative acts with data-driven learning models. In this paper, we discuss this issue and provide a preliminary analysis on the variability of human decisions for requesting clarification. Most importantly, we wish to bring this topic back to the community`s table, encouraging discussion on the consequences of having models designed to only {\textquotedblleft}listen in'{\textquotedblright}."
}