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Language variety identification using distributed representations of words and documents

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Language variety identification using distributed representations of words and documents

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dc.contributor.author Franco Salvador, Marc es_ES
dc.contributor.author Rangel, Francisco es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Taulé, Mariona es_ES
dc.contributor.author Martí, M. Antònia es_ES
dc.date.accessioned 2016-05-19T09:41:48Z
dc.date.available 2016-05-19T09:41:48Z
dc.date.issued 2015-11-20
dc.identifier.isbn 978-3-319-24026-8
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/64372
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24027-5_3 es_ES
dc.description.abstract In this work we focus on the use of distributed representations of words and documents using the continuous Skip-gram model. We compare this model with three recent approaches: Information Gain Word-Patterns, TF-IDF graphs and Emotion-labeled Graphs, in addition to several baselines. We evaluate the models introducing the Hispablogs dataset, a new collection of Spanish blogs from five different countries: Argentina, Chile, Mexico, Peru and Spain. Experimental results show state-of-the-art performance in language variety identification. es_ES
dc.description.sponsorship This research has been carried out within the framework of the European Commis-sion WIQ-EI IRSES (no. 269180) and DIANA - Finding Hidden Knowledge in Texts (TIN2012-38603-C02) projects. The work of the second author was partially funded by Autoritas Consulting SA and by Spanish the Ministry of Economics by means of a ECOPORTUNITY IPT-2012-1220-430000 grant. es_ES
dc.language Inglés es_ES
dc.publisher Springer International Publishing es_ES
dc.relation.ispartof Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;9283
dc.rights Reserva de todos los derechos es_ES
dc.subject Author profiling es_ES
dc.subject Language variety identification es_ES
dc.subject Distributed representations es_ES
dc.subject Information Gain Word-Patterns es_ES
dc.subject TF-IDF graphs es_ES
dc.subject Emotion-labeled Graphs es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Language variety identification using distributed representations of words and documents es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-319-24027-5_3
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02/ 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.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 Franco Salvador, M.; Rangel, F.; Rosso, P.; Taulé, M.; Martí, MA. (2015). Language variety identification using distributed representations of words and documents. En Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings. Springer International Publishing. 28-40. https://doi.org/10.1007/978-3-319-24027-5_3 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-319-24027-5_3 es_ES
dc.description.upvformatpinicio 28 es_ES
dc.description.upvformatpfin 40 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 303139 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Educación y Ciencia es_ES
dc.contributor.funder Autoritas Consulting, S.A. es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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