Dialogue act recognition with Bayesian networks for Dutch dialogues

Authors:
Simon Keizer;Rieks op den Akker;Anton Nijholt
Affiliations:
University of Twente, AE Enschede, The Netherlands;University of Twente, AE Enschede, The Netherlands;University of Twente, AE Enschede, The Netherlands
Venue:
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
Year:
2002

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Abstract

This paper presents work on using Bayesian networks for the dialogue act recognition module of a dialogue system for Dutch dialogues. The Bayesian networks can be constructed from the data in an annotated dialogue corpus. For two series of experiments - using different corpora but the same annotation scheme - recognition results are presented and evaluated.