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Overview of the Track on Author Profiling and Deception Detection in Arabic

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Overview of the Track on Author Profiling and Deception Detection in Arabic

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dc.contributor.author Rangel, Francisco es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Charfi, Anis es_ES
dc.contributor.author Zaghouani, Wajdi es_ES
dc.contributor.author Ghanem, Bilal es_ES
dc.contributor.author Sánchez-Junquera, Javier es_ES
dc.date.accessioned 2022-02-11T08:06:30Z
dc.date.available 2022-02-11T08:06:30Z
dc.date.issued 2019-12-15 es_ES
dc.identifier.issn 1613-0073 es_ES
dc.identifier.uri http://hdl.handle.net/10251/180742
dc.description.abstract [EN] This overview presents the Author Profiling and Deception Detection in Arabic (APDA) shared task at PAN@FIRE 2019. Two have been the main aims of this years task: i) to profile the age, gender and native language of a Twitter user; ii) to determine whether an Arabic text is deceptive or not in two different genres: Twitter and news headlines. For this purpose we have created three corpora in Arabic. Altogether, the approaches of 13 participants are evaluated. es_ES
dc.description.sponsorship This publication was made possible by NPRP 9-175-1-033 from the Qatar National Research Fund (a member of Qatar Foundation). The findings achieved herein are solely the responsibility of the authors. The work of Paolo Rosso was also partially funded by Generalitat Valenciana under grant PROMETEO/2019/121. es_ES
dc.language Inglés es_ES
dc.publisher CEUR-WS.org es_ES
dc.relation.ispartof Working Notes of FIRE 2019. CEUR-WS.org, vol. 2517 es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Author profiling es_ES
dc.subject Deception detection es_ES
dc.subject Arabic es_ES
dc.subject Twitter es_ES
dc.subject FIRE es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Overview of the Track on Author Profiling and Deception Detection in Arabic es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.relation.projectID info:eu-repo/grantAgreement/QNRF//NPRP 9-175-1-033//Arabic Author Profiling for Cyber-Security / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2019%2F121//Deep learning for adaptative and multimodal interaction in pattern recognition/ 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 Rangel, F.; Rosso, P.; Charfi, A.; Zaghouani, W.; Ghanem, B.; Sánchez-Junquera, J. (2019). Overview of the Track on Author Profiling and Deception Detection in Arabic. CEUR-WS.org. 70-83. http://hdl.handle.net/10251/180742 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 11th meeting of Forum for Information Retrieval Evaluation (FIRE 2019) es_ES
dc.relation.conferencedate Diciembre 12-15,2019 es_ES
dc.relation.conferenceplace Kolkata, India es_ES
dc.relation.publisherversion http://ceur-ws.org/Vol-2517/ es_ES
dc.description.upvformatpinicio 70 es_ES
dc.description.upvformatpfin 83 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\401843 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Qatar National Research Fund es_ES


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