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Estimating the number of segments for improving dialogue act labelling

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Estimating the number of segments for improving dialogue act labelling

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Tamarit Ballester, V.; Martínez-Hinarejos, C.; Benedí Ruiz, JM. (2012). Estimating the number of segments for improving dialogue act labelling. Natural Language Engineering. 18(1):1-19. https://doi.org/10.1017/S135132491000032X

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/36088

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Title: Estimating the number of segments for improving dialogue act labelling
Author: Tamarit Ballester, Vicent Martínez-Hinarejos, Carlos-D. Benedí Ruiz, José Miguel
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica
Issued date:
Abstract:
In dialogue systems it is important to label the dialogue turns with dialogue-related meaning. Each turn is usually divided into segments and these segments are labelled with dialogue acts (DAs). A DA is a representation ...[+]
Subjects: Dialogue acts , Dialogue manager , Dialogue systems , Probabilistic models , Speech processing , Estimation
Copyrigths: Reserva de todos los derechos
Source:
Natural Language Engineering. (issn: 1351-3249 )
DOI: 10.1017/S135132491000032X
Publisher:
Cambridge University Press (CUP)
Publisher version: http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8456979
Project ID:
info:eu-repo/grantAgreement/GVA//ACOMP%2F2010%2F051/
...[+]
info:eu-repo/grantAgreement/GVA//ACOMP%2F2010%2F051/
info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/
info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/ /
info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-01/ES/Multimodal Interaction For Text Transcription With Adaptive Learning/
info:eu-repo/grantAgreement/MEC//BES-2007-16834/ES/BES-2007-16834/
info:eu-repo/grantAgreement/MITURCO//TSI-020110-2009-0439/ES/ERUDITO.COM/
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Thanks:
Work supported by the EC (FEDER/FSE), the Spanish Government (MEC, MICINN, MITyC, MAEC, "Plan E", under grants MIPRCV "Consolider Ingenio 2010" CSD2007-00018, MITTRAL TIN2009-14633-C03-01, erudito.com TSI-020110-2009-439, ...[+]
Type: Artículo

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