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Active learning for dialogue act labelling

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Active learning for dialogue act labelling

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dc.contributor.author Ghigi, Fabrizio es_ES
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 2014-05-15T09:17:26Z
dc.date.issued 2011
dc.identifier.isbn 978-3-642-21256-7
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/37492
dc.description.abstract Active learning is a useful technique that allows for a considerably reduction of the amount of data we need to manually label in order to reach a good performance of a statistical model. In order to apply active learning to a particular task we need to previously define an effective selection criteria, that picks out the most informative samples at each iteration of active learning process. This is still an open problem that we are going to face in this work, in the task of dialogue annotation at dialogue act level. We present two different criteria, weighted number of hypothesis and entropy, that we have applied to the Sample Selection Algorithm for the task of dialogue act labelling, that retrieved appreciably improvements in our experimental approach. © 2011 Springer-Verlag. es_ES
dc.description.sponsorship Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV “Consolider Ingenio 2010” program (CSD2007-00018), MITTRAL (TIN2009-14633-C03-01) projects and the FPI scholarship (BES-2009-028965). Also supported by the Generalitat Valenciana under grant Prometeo/2009/014 and GV/2010/067
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/ es_ES
dc.relation info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-01/ES/Multimodal Interaction For Text Transcription With Adaptive Learning/ es_ES
dc.relation MICINN/BES-2009-028965 es_ES
dc.relation info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ es_ES
dc.relation GV/2010/067
dc.relation.ispartof Lecture Notes in Computer Science es_ES
dc.relation.ispartof Pattern Recognition and Image Analysis es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;6669
dc.rights Reserva de todos los derechos es_ES
dc.subject Active Learning es_ES
dc.subject Active-learning process es_ES
dc.subject Experimental approaches es_ES
dc.subject Open problems es_ES
dc.subject Sample selection es_ES
dc.subject Selection criteria es_ES
dc.subject Statistical models es_ES
dc.subject Weighted number es_ES
dc.subject Pattern recognition es_ES
dc.subject Image analysis es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Active learning for dialogue act labelling es_ES
dc.type Capítulo de libro es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1007/978-3-642-21257-4_81
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 Ghigi, F.; Tamarit Ballester, V.; Martínez-Hinarejos, C.; Benedí Ruiz, JM. (2011). Active learning for dialogue act labelling. En Lecture Notes in Computer Science. Springer Verlag (Germany). 6669:652-659. https://doi.org/10.1007/978-3-642-21257-4_81 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 5th Iberian Conference, IbPRIA 2011 es_ES
dc.relation.conferencedate June 8-10, 2011 es_ES
dc.relation.conferenceplace Las Palmas de Gran Canaria, Spain es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-21257-4_81 es_ES
dc.description.upvformatpinicio 652 es_ES
dc.description.upvformatpfin 659 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6669 es_ES
dc.relation.senia 218729
dc.contributor.funder European Regional Development Fund
dc.contributor.funder European Social Fund
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Generalitat Valenciana
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