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Detecting Perspectives in Political Debates
dc.contributor.author | Vilares, David | |
dc.contributor.author | He, Yulan | |
dc.date.accessioned | 2024-01-17T17:41:49Z | |
dc.date.available | 2024-01-17T17:41:49Z | |
dc.date.issued | 2017-09 | |
dc.identifier.citation | David 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.uri | http://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.sponsorship | We 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.sponsorship | China. Natural Science Foundation of China; 61528302 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Association for Computational Linguistics | es_ES |
dc.relation | info:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU13%2F01180/ES/ | es_ES |
dc.relation | info: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 MICROTEXTO | es_ES |
dc.relation.uri | https://doi.org/10.18653/v1/D17-1165 | es_ES |
dc.rights | Atribución 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Natural language processing | es_ES |
dc.subject | Modelling for perspective detection | es_ES |
dc.title | Detecting Perspectives in Political Debates | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.startPage | 1573 | es_ES |
UDC.endPage | 1582 | es_ES |
dc.identifier.doi | 10.18653/v1/D17-1 | |
dc.identifier.doi | 10.18653/v1/D17-1165 | |
UDC.conferenceTitle | EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing | es_ES |