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Automatic Dialogue Act Recognition: Approaches and Applications - Couverture souple

Král, Pavel

 
9783639243598: Automatic Dialogue Act Recognition: Approaches and Applications
Couverture souple
ISBN 10 : 3639243595 ISBN 13 : 9783639243598
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

This work deals with automatic Dialogue Act (DA) recognition in Czech and in French. The first main contribution of this work is to propose and compare several approaches that recognize dialogue acts based on three types of information: lexical, prosodic and word positions. These approaches are tested on the Czech Railways dialogue act corpus. The experimental results confirm that every type of feature bring relevant and somewhat complementary information. The proposed methods that take into account word positions are especially interesting, as they bring global information about the structure of a sentence. One of the main issue in the domain of automatic dialogue act recognition concerns the design of a fast and cheap method to label new corpora. The next main contribution is to apply a general semi-supervised training approach based on the Expectation Maximization algorithm to the task of labeling a new corpus with pre-defined DAs. We further propose to filter out incorrect examples with two confidence measures methods. Experimental results show that the proposed method is an interesting approach to create new dialogue act corpora at low costs.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This work deals with automatic Dialogue Act (DA) recognition in Czech and in French. The first main contribution of this work is to propose and compare several approaches that recognize dialogue acts based on three types of information: lexical, prosodic and word positions. These approaches are tested on the Czech Railways dialogue act corpus. The experimental results confirm that every type of feature bring relevant and somewhat complementary information. The proposed methods that take into account word positions are especially interesting, as they bring global information about the structure of a sentence. One of the main issue in the domain of automatic dialogue act recognition concerns the design of a fast and cheap method to label new corpora. The next main contribution is to apply a general semi-supervised training approach based on the Expectation Maximization algorithm to the task of labeling a new corpus with pre-defined DAs. We further propose to filter out incorrect examples with two confidence measures methods. Experimental results show that the proposed method is an interesting approach to create new dialogue act corpora at low costs.

Biographie de l'auteur

Pavel Král is a lecturer and researcher at the University of West Bohemia in Pilsen (Czech Republic). His research is focused on speech recognition, in particular on automatic dialogue act recognition. He finished his Ph.D. at the Henri Poincaré University in Nancy (France) and at the University of West Bohemia in November 2007.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639243595
ISBN 13 
9783639243598
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
Personne responsable
non disponible