Modelling topics and topic shifts indialogue

Autor: Amandine, Decker, Maxime, Amblard, Ellen, Breitholtz
Přispěvatelé: Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), University of Gothenburg (GU), This work was partly supported by Riksbankens Jubileumsfond (RJ: P16-0805:1)., Decker, Amandine
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: Extended Abstract presented at the workshop Semantics, Memory, and Emotion II in September 2022.; In this paper we discuss a model of topics and topic shifts, including more unconventional topic shifts as we can see in dialogues with patients with schizophrenia. We will use TTR, a type theory with records (Cooper, 2014; Cooper, 2022) with dialogue gameboards (DGBs) (Ginzburg, 2012). This theory enables us to represent both the linguistic and extra-linguistic context (situation context), which influence dialogue participants with regard to topic shifts and the evolution of the current topic but also to the understanding of topic shifts.
Databáze: OpenAIRE