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On the Use of PU Learning for Quality Flaw Prediction in Wikipedia

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On the Use of PU Learning for Quality Flaw Prediction in Wikipedia

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Nombre: CLEF-PAN-Wikipedia.pdf
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dc.contributor.author Ferretti, Edgardo es_ES
dc.contributor.author Hernández Fusilier, Donato es_ES
dc.contributor.author Guzmán Cabrera, Rafael es_ES
dc.contributor.author Montes y Gómez, Manuel es_ES
dc.contributor.author Errecalde, Marcelo es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2015-01-30T12:02:23Z
dc.date.available 2015-01-30T12:02:23Z
dc.date.issued 2012
dc.identifier.issn 1613-0073
dc.identifier.uri http://hdl.handle.net/10251/46566
dc.description.abstract [EN] In this article we describe a new approach to assess Quality Flaw Prediction in Wikipedia. The partially supervised method studied, called PU Learning, has been successfully applied in classi cations tasks with traditional corpora like Reuters-21578 or 20-Newsgroups. To the best of our knowledge, this is the rst time that it is applied in this domain. Throughout this paper, we describe how the original PU Learning approach was evaluated for assessing quality flaws and the modi cations introduced to get a quality aws predictor which obtained the best F1 scores in the task \Quality Flaw Prediction in Wikipedia" of the PAN challenge. es_ES
dc.description.sponsorship Edgardo Ferretti and Marcelo Errecalde thank Universidad Nacional de San Luis (PROICO 30310). The collaboration of UNSL, INAOE and UPV has been funded by the European Commission as part of the WIQ-EI project (project no. 269180) within the FP7 People Programme. Manuel Montes is partially supported by CONACYT, No. 134186. The work of Paolo Rosso was carried out also in the framework of the MICINN Text-Enterprise (TIN2009-13391-C04-03) research project and the Microcluster VLC/Campus (International Campus of Excellence) on Multimodal Intelligent Systems.
dc.language Inglés es_ES
dc.relation.ispartof CEUR Workshop Proceedings es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title On the Use of PU Learning for Quality Flaw Prediction in Wikipedia es_ES
dc.type Artículo es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UNSL//PROICO 30310/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CONACyT//134186/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-13391-C04-03/ES/Text-Enterprise 2.0: Tecnicas De Comprension De Textos Aplicadas A Las Necesidades De La Empresa 2.0/ 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.description.bibliographicCitation Ferretti, E.; Hernández Fusilier, D.; Guzmán Cabrera, R.; Montes Y Gómez, M.; Errecalde, M.; Rosso, P. (2012). On the Use of PU Learning for Quality Flaw Prediction in Wikipedia. CEUR Workshop Proceedings. 1178. http://hdl.handle.net/10251/46566 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://ceur-ws.org/Vol-1178/ es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 1178 es_ES
dc.relation.senia 232477
dc.contributor.funder European Commission
dc.contributor.funder Universidad Nacional de San Luis, Argentina
dc.contributor.funder Consejo Nacional de Ciencia y Tecnología, México
dc.contributor.funder Ministerio de Ciencia e Innovación


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