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dc.contributor.author | Rangel, Francisco | es_ES |
dc.contributor.author | Rosso, Paolo | es_ES |
dc.contributor.author | Chrugur, irina | es_ES |
dc.contributor.author | Potthast, Martin | es_ES |
dc.contributor.author | Trenkmann, Martin | es_ES |
dc.contributor.author | Stein, Benno | es_ES |
dc.contributor.author | Verhoeven, Ben | es_ES |
dc.contributor.author | Daelemans, Walter | es_ES |
dc.date.accessioned | 2016-02-24T09:18:36Z | |
dc.date.available | 2016-02-24T09:18:36Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 1613-0073 | |
dc.identifier.uri | http://hdl.handle.net/10251/61150 | |
dc.description.abstract | [EN] This overview presents the framework and the results for the Author Profiling task at PAN 2014. Objective of this year is the analysis of the adaptability of the detection approaches when given different genres. For this purpose a corpus with four different parts (subcorpora) has been compiled: social media, Twitter, blogs, and hotel reviews. The construction of the Twitter subcorpus happened in cooperation with RepLab in order to investigate also a reputational perspective. Altogether, the approaches of 10 participants are evaluated. | es_ES |
dc.description.sponsorship | The PAN task on author profiling has been organised in the framework of the WIQ-EI IRSES project (Grant No. 269180) within the FP 7 Marie Curie People Framework of the European Commission. We would like to thank Atribus by Corex for sponsoring the award for the winner team. We thank Julio Gonzalo, Jorge Carrillo and Damiano Spina from UNED for helping with the Twitter subcorpus. The work of the first author was partially funded by Autoritas Consulting SA and by Ministerio de Economía y Competitividad de España under grant ECOPORTUNITY IPT-2012-1220-430000 and CSO2013-43054-R. The work of the second author was in the framework the DIANA-APPLICATIONS-Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project, and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. | |
dc.language | Inglés | es_ES |
dc.publisher | CEUR Workshop Proceedings | 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 | Overview of the 2nd Author Profiling Task at PAN 2014 | 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/MINECO//IPT-2012-1220-430000/ES/ECOPORTUNITY/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//CSO2013-43054-R/ES/ESTRUCTURA SOCIAL, ENCUESTAS Y ELECCIONES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/ | |
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 | Rangel, F.; Rosso, P.; Chrugur, I.; Potthast, M.; Trenkmann, M.; Stein, B.; Verhoeven, B.... (2014). Overview of the 2nd Author Profiling Task at PAN 2014. CEUR Workshop Proceedings. 1180:898-927. http://hdl.handle.net/10251/61150 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://ceur-ws.org/Vol-1180/ | es_ES |
dc.description.upvformatpinicio | 898 | es_ES |
dc.description.upvformatpfin | 927 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 1180 | es_ES |
dc.relation.senia | 286037 | es_ES |
dc.contributor.funder | European Commission | |
dc.contributor.funder | Ministerio de Economía y Competitividad |