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dc.contributor.authorVilares, David
dc.contributor.authorHe, Yulan
dc.date.accessioned2024-01-17T17:41:49Z
dc.date.available2024-01-17T17:41:49Z
dc.date.issued2017-09
dc.identifier.citationDavid Vilares and Yulan He. 2017. Detecting Perspectives in Political Debates. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1573–1582, Copenhagen, Denmark. Association for Computational Linguistics.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/34962
dc.description.abstract[Abstract]: We explore how to detect people’s perspectives that occupy a certain proposition. We propose a Bayesian modelling approach where topics (or propositions) and their associated perspectives (or viewpoints) are modeled as latent variables. Words associated with topics or perspectives follow different generative routes. Based on the extracted perspectives, we can extract the top associated sentences from text to generate a succinct summary which allows a quick glimpse of the main viewpoints in a document. The model is evaluated on debates from the House of Commons of the UK Parliament, revealing perspectives from the debates without the use of labelled data and obtaining better results than previous related solutions under a variety of evaluations.es_ES
dc.description.sponsorshipWe thank Charles Marshall for crawling the HCD data. DV was funded by MECD (FPU 13/01180), MINECO (FFI2014-51978-C2-2-R) and Inditex-UDC grants for research stays. YH is partly funded by the Natural Science Foundation of China (61528302).es_ES
dc.description.sponsorshipChina. Natural Science Foundation of China; 61528302es_ES
dc.language.isoenges_ES
dc.publisherAssociation for Computational Linguisticses_ES
dc.relationinfo:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU13%2F01180/ES/es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FFI2014-51978-C2-2-R/ES/TECNOLOGIAS DE LA LENGUA PARA ANALISIS DE OPINIONES EN REDES SOCIALES: DEL TEXTO AL MICROTEXTOes_ES
dc.relation.urihttps://doi.org/10.18653/v1/D17-1165es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectNatural language processinges_ES
dc.subjectModelling for perspective detectiones_ES
dc.titleDetecting Perspectives in Political Debateses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.startPage1573es_ES
UDC.endPage1582es_ES
dc.identifier.doi10.18653/v1/D17-1
dc.identifier.doi10.18653/v1/D17-1165
UDC.conferenceTitleEMNLP 2017 - Conference on Empirical Methods in Natural Language Processinges_ES


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