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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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dc.contributor.author Tamarit Ballester, Vicent es_ES
dc.contributor.author Martínez-Hinarejos, Carlos-D. es_ES
dc.contributor.author Benedí Ruiz, José Miguel es_ES
dc.date.accessioned 2014-03-03T11:03:38Z
dc.date.available 2014-03-03T11:03:38Z
dc.date.issued 2012-01
dc.identifier.issn 1351-3249
dc.identifier.uri http://hdl.handle.net/10251/36088
dc.description.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 of the functional role of the segment. Each segment is labelled with one DA, representing its role in the ongoing discourse. The sequence of DAs given a dialogue turn is used by the dialogue manager to understand the turn. Probabilistic models that perform DA labelling can be used on segmented or unsegmented turns. The last option is more likely for a practical dialogue system, but it provides poorer results. In that case, a hypothesis for the number of segments can be provided to improve the results. We propose some methods to estimate the probability of the number of segments based on the transcription of the turn. The new labelling model includes the estimation of the probability of the number of segments in the turn. We tested this new approach with two different dialogue corpora: SwitchBoard and Dihana. The results show that this inclusion significantly improves the labelling accuracy. © Copyright Cambridge University Press 2011. es_ES
dc.description.sponsorship 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, FPI fellowship BES-2007-16834), and Generalitat Valenciana (grant Prometeo/2009/014 and grant ACOMP/2010/051). en_EN
dc.format.extent 19 es_ES
dc.language Inglés es_ES
dc.publisher Cambridge University Press (CUP) es_ES
dc.relation.ispartof Natural Language Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Dialogue acts es_ES
dc.subject Dialogue manager es_ES
dc.subject Dialogue systems es_ES
dc.subject Probabilistic models es_ES
dc.subject Speech processing es_ES
dc.subject Estimation es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Estimating the number of segments for improving dialogue act labelling es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1017/S135132491000032X
dc.relation.projectID info:eu-repo/grantAgreement/GVA//ACOMP%2F2010%2F051/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/ / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-01/ES/Multimodal Interaction For Text Transcription With Adaptive Learning/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//BES-2007-16834/ES/BES-2007-16834/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MITURCO//TSI-020110-2009-0439/ES/ERUDITO.COM/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8456979 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 208805
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Ciencia y Tecnología es_ES
dc.contributor.funder Ministerio de Asuntos Exteriores y Cooperación es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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