Reasoning under Uncertainty in Natural Language Dialogue using Bayesian Networks

S. Keizer; Simon Keizer

Reasoning under Uncertainty in Natural Language Dialogue using Bayesian Networks

S. Keizer, Simon Keizer

Research output: Thesis › PhD Thesis - Research UT, graduation UT

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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 language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Twente
Supervisors/Advisors	Nijholt, Anton, Supervisor op den Akker, Hendrikus J.A., Advisor
Award date	3 Sept 2003
Place of Publication	Enschede, the Netherlands
Publisher	Twente University Press (TUP)
Print ISBNs	90-365-1951-9
Publication status	Published - 3 Sept 2003

Keywords

METIS-212849
IR-41562
EWI-6565

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title = "Reasoning under Uncertainty in Natural Language Dialogue using Bayesian Networks",

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.",

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N2 - 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.

AB - 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.

KW - METIS-212849

KW - IR-41562

KW - EWI-6565

M3 - PhD Thesis - Research UT, graduation UT

SN - 90-365-1951-9

PB - Twente University Press (TUP)

CY - Enschede, the Netherlands

ER -

Reasoning under Uncertainty in Natural Language Dialogue using Bayesian Networks

Abstract

Keywords

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