InforLorV4, PascalFrancis, Corpus, bibRecord, 000006

Automatic dialogue act recognition with syntactic features

Identifieur interne : 000006 ( PascalFrancis/Corpus ); précédent : 000005; suivant : 000007

Automatic dialogue act recognition with syntactic features

Auteurs : Pavel Kral ; Christophe Cerisara

Source :

Language resources and evaluation [ 1574-020X ] ; 2014.

RBID : Francis:15-0046119

Descripteurs français

Pascal (Inist)
- Reconnaissance automatique, Modèle de langage, Reconnaissance de la parole.

English descriptors

KwdEn :
- Automatic recognition, Language model, Speech recognition.

Abstract

This work studies the usefulness of syntactic information in the context of automatic dialogue act recognition in Czech. Several pieces of evidence are presented in this work that support our claim that syntax might bring valuable information for dialogue act recognition. In particular, a parallel is drawn with the related domain of automatic punctuation generation and a set of syntactic features derived from a deep parse tree is further proposed and successfully used in a Czech dialogue act recognition system based on conditional random fields. We finally discuss the possible reasons why so few works have exploited this type of information before and propose future research directions to further progress in this area.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A11	`01`	`1`		`@1 KRAL (Pavel)`
A11	`02`	`1`		`@1 CERISARA (Christophe)`
A14	`01`			`@1 Faculty of Applied Sciences, New Technologies for the Information Society (NTIS), University of West Bohemia @2 Plzeň @3 CZE @Z 1 aut.`
A14	`02`			`@1 LORIA UMR 7503, BP 239 @2 54506 Vandoeuvre @3 FRA @Z 2 aut.`
A20				`@1 419-441`
A21				`@1 2014`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 14902 @5 354000504845840020`
A44				`@0 0000 @1 © 2015 INIST-CNRS. All rights reserved.`
A45				`@0 2 p.1/2`
A47	`01`	`1`		`@0 15-0046119`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Language resources and evaluation`
A66	`01`			`@0 NLD`
C01	`01`		`ENG`	@0 This work studies the usefulness of syntactic information in the context of automatic dialogue act recognition in Czech. Several pieces of evidence are presented in this work that support our claim that syntax might bring valuable information for dialogue act recognition. In particular, a parallel is drawn with the related domain of automatic punctuation generation and a set of syntactic features derived from a deep parse tree is further proposed and successfully used in a Czech dialogue act recognition system based on conditional random fields. We finally discuss the possible reasons why so few works have exploited this type of information before and propose future research directions to further progress in this area.
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C03	`03`	`L`	`ENG`	`@0 Speech recognition @2 NI @5 03`
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C07	`02`	`L`	`ENG`	`@0 Computational linguistics @2 NI @5 05`
N21				`@1 138`

Format Inist (serveur)

NO :	FRANCIS 15-0046119 INIST
ET :	Automatic dialogue act recognition with syntactic features
AU :	KRAL (Pavel); CERISARA (Christophe)
AF :	Faculty of Applied Sciences, New Technologies for the Information Society (NTIS), University of West Bohemia/Plzeň/Tchèque, République (1 aut.); LORIA UMR 7503, BP 239/54506 Vandoeuvre/France (2 aut.)
DT :	Publication en série; Niveau analytique
SO :	Language resources and evaluation; ISSN 1574-020X; Pays-Bas; Da. 2014; Vol. 48; No. 3; Pp. 419-441; Bibl. 2 p.1/2
LA :	Anglais
EA :	This work studies the usefulness of syntactic information in the context of automatic dialogue act recognition in Czech. Several pieces of evidence are presented in this work that support our claim that syntax might bring valuable information for dialogue act recognition. In particular, a parallel is drawn with the related domain of automatic punctuation generation and a set of syntactic features derived from a deep parse tree is further proposed and successfully used in a Czech dialogue act recognition system based on conditional random fields. We finally discuss the possible reasons why so few works have exploited this type of information before and propose future research directions to further progress in this area.
CC :	52478; 52459; 52474; 52458; 524
FD :	Reconnaissance automatique; Modèle de langage; Reconnaissance de la parole
FG :	Traitement automatique de la parole; Linguistique informatique
ED :	Automatic recognition; Language model; Speech recognition
EG :	Speech processing; Computational linguistics
LO :	INIST-14902.354000504845840020
ID :	15-0046119

Links to Exploration step

Francis:15-0046119

Le document en format XML

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Automatic dialogue act recognition with syntactic features

Automatic dialogue act recognition with syntactic features

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri