@article{ginzburg-etal-2022-characterizing,
    title = "Characterizing the Response Space of Questions: data and theory",
    author = "Ginzburg, Jonathan  and
      Yusupujiang, Zulipiye  and
      Li, Chuyuan  and
      Ren, Kexin  and
      Kucharska, Aleksandra  and
      Lupkowski, Pawel",
    editor = "Stent, Amanda  and
      Eugenio, Barbara Di  and
      Poesio, Massimo  and
      Georgila, Kallirroi  and
      Stede, Manfred",
    journal = "Dialogue {\&} Discourse",
    volume = "13",
    month = dec,
    year = "2022",
    address = "Chicago, Illinois, USA",
    publisher = "University of Illinois Chicago",
    url = "https://preview.aclanthology.org/ingest-nejlt/2022.dnd-13.1/",
    doi = "10.5210/dad.2022.203",
    pages = "79--132",
    abstract = "The main aim of this paper is to provide a characterization of the response space for questions using a taxonomy grounded in a dialogical formal semantics. As a starting point we take the typology for responses in the form of questions provided in lupginz-jlm. This work develops a wide coverage taxonomy for question/question sequences observable in corpora including the BNC, CHILDES, and BEE, as well as formal modeling of all the postulated classes. Our aim is to extend this work to cover all responses to questions. We present the extended typology of responses to questions based on a corpus studies of BNC, BEE, Maptask and CornellMovie with include 506, 262, 467, and 678 question/response pairs respectively. We compare the data for English with data from Polish using the Spokes corpus (694 question/response pairs). We discuss annotation reliability and disagreement analysis. We sketch how each class can be formalized using a dialogical semantics appropriate for dialogue management."
}