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Overview of PAN 2018. Author identification, author profiling, and author obfuscation

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Overview of PAN 2018. Author identification, author profiling, and author obfuscation

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dc.contributor.author Stamatatos, Efstathios es_ES
dc.contributor.author Rangel-Pardo, Francisco Manuel es_ES
dc.contributor.author Tschuggnall, Michael es_ES
dc.contributor.author Stein, Benno es_ES
dc.contributor.author Kestemont, Mike es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Potthast, Martin es_ES
dc.date.accessioned 2019-05-19T20:02:19Z
dc.date.available 2019-05-19T20:02:19Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/120698
dc.description.abstract [EN] PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of competitive approaches and advancing research in digital text forensics.More specifically, this edition of PAN introduces a shared task in cross-domain authorship attribution, where texts of known and unknown authorship belong to distinct domains, and another task in style change detection that distinguishes between single author and multi-author texts. In addition, a shared task in multimodal author profiling examines, for the first time, a combination of information from both texts and images posted by social media users to estimate their gender. Finally, the author obfuscation task studies how a text by a certain author can be paraphrased so that existing author identification tools are confused and cannot recognize the similarity with other texts of the same author. New corpora have been built to support these shared tasks. A relatively large number of software submissions (41 in total) was received and evaluated. Best paradigms are highlighted while baselines indicate the pros and cons of submitted approaches. es_ES
dc.description.sponsorship The work at the Universitat Polit`ecnica de Val`encia was funded by the MINECO research project SomEMBED (TIN2015-71147-C2-1-P)
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Lecture Notes in Computer Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Author identification es_ES
dc.subject Author profiling es_ES
dc.subject Author obfuscation es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Overview of PAN 2018. Author identification, author profiling, and author obfuscation es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1007/978-3-319-98932-7_25 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-71147-C2-1-P/ES/COMPRENSION DEL LENGUAJE EN LOS MEDIOS DE COMUNICACION SOCIAL - REPRESENTANDO CONTEXTOS DE FORMA CONTINUA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2019-08-15 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 Stamatatos, E.; Rangel-Pardo, FM.; Tschuggnall, M.; Stein, B.; Kestemont, M.; Rosso, P.; Potthast, M. (2018). Overview of PAN 2018. Author identification, author profiling, and author obfuscation. Lecture Notes in Computer Science. 11018:267-285. https://doi.org/10.1007/978-3-319-98932-7_25 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 9th Conference and Labs of the Evaluation Forum (CLEF 2018) es_ES
dc.relation.conferencedate Septiembre 10-14,2018 es_ES
dc.relation.conferenceplace Avignon, France es_ES
dc.relation.publisherversion http://doi.org/10.1007/978-3-319-98932-7_25 es_ES
dc.description.upvformatpinicio 267 es_ES
dc.description.upvformatpfin 285 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11018 es_ES
dc.relation.pasarela S\384344 es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES
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