Evaluation of Dialogue Act Recognition Approaches

Evaluation of Dialogue Act Recognition Approaches

This paper deals with automatic dialogue act recognition. Dialogue acts (DAs) are utterance-level labels that represent different states of a dialogue, such as questions, statements, hesitations, etc. Information about actual DA can be seen as the first level of dialogue understanding. The main goal of this paper is to compare our dialogue act recognition approaches that model the utterance structure, and are particularly useful when the DA corpus is small, with n-gram based approaches. Our best approach is also combined successfully with prosodic models. We further show that sentence structure-based approaches significantly outperform n-gram based methods.

Keywords: bayesian network, dialog, dialog act, language model, lexical information, n-gram model, prosody, sentence structure

Year: 2008

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Authors of this publication:


Pavel Kr├íl


Phone: +420 377 632 454
E-mail: pkral@kiv,zcu.cz
WWW: http://home.zcu.cz/~pkral/

Pavel is a lecturer/researcher at the Department of Computer Science and Engineering at the University of West Bohemia in Pilsen (Czech Republic). His research is focused on automatic speech processing, dialog act recognition, syntactic parsing, punctuation annotation and document classification.