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

[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...

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Authors: Barrón Cedeño, Luis Alberto, Vila, Marta, Martí, M. Antònia, Rosso, Paolo
Format: article
Publication Date:2013
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/46317
Online Access:https://riunet.upv.es/handle/10251/46317
Access Level:Open access
Keyword:LENGUAJES Y SISTEMAS INFORMATICOS
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
title Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
spellingShingle Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
Barrón Cedeño, Luis Alberto
LENGUAJES Y SISTEMAS INFORMATICOS
title_short Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
title_full Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
title_fullStr Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
title_full_unstemmed Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
title_sort Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
dc.creator.none.fl_str_mv Barrón Cedeño, Luis Alberto
Vila, Marta
Martí, M. Antònia
Rosso, Paolo
author Barrón Cedeño, Luis Alberto
author_facet Barrón Cedeño, Luis Alberto
Vila, Marta
Martí, M. Antònia
Rosso, Paolo
author_role author
author2 Vila, Marta
Martí, M. Antònia
Rosso, Paolo
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Centro de Investigación Pattern Recognition and Human Language Technology
European Commission
Ministerio de Ciencia e Innovación
Ministerio de Educación, Cultura y Deporte
Consejo Nacional de Ciencia y Tecnología, México
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv LENGUAJES Y SISTEMAS INFORMATICOS
topic LENGUAJES Y SISTEMAS INFORMATICOS
description [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.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-12-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/46317
url https://riunet.upv.es/handle/10251/46317
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission https://doi.org/10.13039/501100000780 FP7 246016 Alain Bensoussan Career Development Enhancer
Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TIN2009-13391-C04-04 Text-Knowledge 2.0: El Modelado Del Conocimiento Ante Los Nuevos Retos De La Comunicacion Digital
CONACyT CONACyT 192021
Ministerio de Educación y Cultura http://dx.doi.org/10.13039/501100003176 AP2008-02185 AP2008-02185
Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TIN2009-13391-C04-03 Text-Enterprise 2.0: Tecnicas De Comprension De Textos Aplicadas A Las Necesidades De La Empresa 2.0
European Commission https://doi.org/10.13039/501100000780 FP7 269180 Web Information Quality Evaluation Initiative
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MIT Press
publisher.none.fl_str_mv MIT Press
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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spelling Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detectionBarrón Cedeño, Luis AlbertoVila, MartaMartí, M. AntòniaRosso, PaoloLENGUAJES Y SISTEMAS INFORMATICOS[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.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.MIT PressDepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaCentro de Investigación Pattern Recognition and Human Language TechnologyEuropean CommissionMinisterio de Ciencia e InnovaciónMinisterio de Educación, Cultura y DeporteConsejo Nacional de Ciencia y Tecnología, MéxicoRepositorio Institucional de la Universitat Politècnica de València Riunet20132013-12-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/46317reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengEuropean Commission https://doi.org/10.13039/501100000780 FP7 246016 Alain Bensoussan Career Development EnhancerMinisterio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TIN2009-13391-C04-04 Text-Knowledge 2.0: El Modelado Del Conocimiento Ante Los Nuevos Retos De La Comunicacion DigitalCONACyT CONACyT 192021Ministerio de Educación y Cultura http://dx.doi.org/10.13039/501100003176 AP2008-02185 AP2008-02185Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TIN2009-13391-C04-03 Text-Enterprise 2.0: Tecnicas De Comprension De Textos Aplicadas A Las Necesidades De La Empresa 2.0European Commission https://doi.org/10.13039/501100000780 FP7 269180 Web Information Quality Evaluation Initiativeopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/463172026-06-13T07:49:27Z
score 15,300719

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