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Paraphrase Plagiarism Identifcation with Character-level Features

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Paraphrase Plagiarism Identifcation with Character-level Features

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dc.contributor.author Sánchez-Vega, Fernando es_ES
dc.contributor.author Villatoro-Tello, Esaú es_ES
dc.contributor.author Montes-y-Gómez, Manuel es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Stamatatos, Efstathios es_ES
dc.contributor.author Villaseñor-Pineda, Luis es_ES
dc.date.accessioned 2021-01-27T04:32:44Z
dc.date.available 2021-01-27T04:32:44Z
dc.date.issued 2019-05 es_ES
dc.identifier.issn 1433-7541 es_ES
dc.identifier.uri http://hdl.handle.net/10251/159992
dc.description.abstract [EN] Several methods have been proposed for determining plagiarism between pairs of sentences, passages or even full documents. However, the majority of these methods fail to reliably detect paraphrase plagiarism due to the high complexity of the task, even for human beings. Paraphrase plagiarism identi cation consists in automatically recognizing document fragments that contain re-used text, which is intentionally hidden by means of some rewording practices such as semantic equivalences, discursive changes, and morphological or lexical substitutions. Our main hypothesis establishes that the original author's writing style ngerprint prevails in the plagiarized text even when paraphrases occur. Thus, in this paper we propose a novel text representation scheme that gathers both content and style characteristics of texts, represented by means of character-level features. As an additional contribution, we describe the methodology followed for the construction of an appropriate corpus for the task of paraphrase plagiarism identi cation, which represents a new valuable resource to the NLP community for future research work in this field. es_ES
dc.description.sponsorship This work is the result of the collaboration in the framework of the CONACYT Thematic Networks program (RedTTL Language Technologies Network) and the WIQ-EI IRSES project (Grant No. 269180) within the FP7 Marie Curie action. The first author was supported by CONACYT (Scholarship 258345/224483). The second, third, and sixth authors were partially supported by CONACyT (Project Grants 258588 and 2410). The work of the fourth author was partially supported by the SomEMBED TIN2015-71147-C2-1-P MINECO research project and by the Generalitat Valenciana under the Grant ALMAMATER (PrometeoII/2014/030). es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Pattern Analysis and Applications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Plagiarism identification es_ES
dc.subject Paraphrase plagiarism es_ES
dc.subject Text reuse es_ES
dc.subject Character n-grams es_ES
dc.subject Stylistic representation es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Paraphrase Plagiarism Identifcation with Character-level Features es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10044-017-0674-z es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CONACyT//FC 2016-2410/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/
dc.relation.projectID info:eu-repo/grantAgreement/CONACyT//258588/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F030/ES/ Adaptive learning and multimodality in machine translation and text transcription/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CONACyT//258345%2F224483/ 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.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Sánchez-Vega, F.; Villatoro-Tello, E.; Montes-Y-Gómez, M.; Rosso, P.; Stamatatos, E.; Villaseñor-Pineda, L. (2019). Paraphrase Plagiarism Identifcation with Character-level Features. Pattern Analysis and Applications. 22(2):669-681. https://doi.org/10.1007/s10044-017-0674-z es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10044-017-0674-z es_ES
dc.description.upvformatpinicio 669 es_ES
dc.description.upvformatpfin 681 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\409334 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Consejo Nacional de Ciencia y Tecnología, México es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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