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Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection

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Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection

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dc.contributor.author Barrón Cedeño, Luis Alberto es_ES
dc.contributor.author Vila, Marta es_ES
dc.contributor.author Martí, M. Antònia es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2015-01-23T13:24:08Z
dc.date.available 2015-01-23T13:24:08Z
dc.date.issued 2013-12
dc.identifier.issn 0891-2017
dc.identifier.uri http://hdl.handle.net/10251/46317
dc.description.abstract [EN] Although paraphrasing is the linguistic mechanism underlying many plagiarism cases, little attention has been paid to its analysis in the framework of automatic plagiarism detection. Therefore, state-of-the-art plagiarism detectors find it difficult to detect cases of paraphrase plagiarism. In this article, we analyze the relationship between paraphrasing and plagiarism, paying special attention to which paraphrase phenomena underlie acts of plagiarism and which of them are detected by plagiarism detection systems. With this aim in mind, we created the P4P corpus, a new resource that uses a paraphrase typology to annotate a subset of the PAN-PC-10 corpus for automatic plagiarism detection. The results of the Second International Competition on Plagiarism Detection were analyzed in the light of this annotation.The presented experiments show that (i) more complex paraphrase phenomena and a high density of paraphrase mechanisms make plagiarism detection more difficult, (ii) lexical substitutions are the paraphrase mechanisms used the most when plagiarizing, and (iii) paraphrase mechanisms tend to shorten the plagiarized text. For the first time, the paraphrase mechanisms behind plagiarism have been analyzed, providing critical insights for the improvement of automatic plagiarism detection systems. es_ES
dc.description.sponsorship We would like to thank the people who participated in the annotation of the P4P corpus, Horacio Rodriguez for his helpful advice as experienced researcher, and the reviewers of this contribution for their valuable comments to improve this article. This research work was partially carried out during the tenure of an ERCIM "Alain Bensoussan" Fellowship Programme. The research leading to these results received funding from the EU FP7 Programme 2007-2013 (grant no. 246016), the MICINN projects TEXT-ENTERPRISE 2.0 and TEXT-KNOWLEDGE 2.0 (TIN2009-13391), the EC WIQ-EI IRSES project (grant no. 269180), and the FP7 Marie Curie People Programme. The research work of A. Barron-Cedeno and M. Vila was financed by the CONACyT-Mexico 192021 grant and the MECD-Spain FPU AP2008-02185 grant, respectively. The research work of A. Barron-Cedeno was partially done in the framework of his Ph.D. at the Universitat Politecnica de Valencia. en_EN
dc.language Inglés es_ES
dc.publisher MIT Press es_ES
dc.relation.ispartof Computational Linguistics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1162/COLI_a_00153
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/246016/EU/Alain Bensoussan Career Development Enhancer/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-13391-C04-04/ES/Text-Knowledge 2.0: El Modelado Del Conocimiento Ante Los Nuevos Retos De La Comunicacion Digital/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CONACyT//192021/ 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/MECD//AP2008-02185/ES/AP2008-02185/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-13391-C04-03/ES/Text-Enterprise 2.0: Tecnicas De Comprension De Textos Aplicadas A Las Necesidades De La Empresa 2.0/ 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 Barrón Cedeño, LA.; Vila, M.; Martí, MA.; Rosso, P. (2013). Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection. Computational Linguistics. 39(4):917-947. https://doi.org/10.1162/COLI_a_00153 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1162/COLI_a_00153 es_ES
dc.description.upvformatpinicio 917 es_ES
dc.description.upvformatpfin 947 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 39 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 255757
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Ministerio de Educación, Cultura y Deporte
dc.contributor.funder Consejo Nacional de Ciencia y Tecnología, México
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