Reasoning under Uncertainty in Natural Language Dialogue using Bayesian Networks

S. Keizer, Simon Keizer

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    218 Downloads (Pure)

    Abstract

    In which uncertainty in natural language dialogue is introduced as the central problem in the research described in this thesis. The idea of using of Bayesian networks is hypothesised as a possible solution to this problem. Dialogue acts are presented as the central notion in our approach to dialogue modelling and the task of recognising dialogue act types as the central topic in the experiments.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • Nijholt, Anton, Supervisor
    • op den Akker, Hendrikus J.A., Advisor
    Award date3 Sept 2003
    Place of PublicationEnschede, the Netherlands
    Publisher
    Print ISBNs90-365-1951-9
    Publication statusPublished - 3 Sept 2003

    Keywords

    • METIS-212849
    • IR-41562
    • EWI-6565

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