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Counting co-occurrences in citations to identify plagiarised text fragments

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Counting co-occurrences in citations to identify plagiarised text fragments

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dc.contributor.author Pertile, Solange de Lurdes es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Moreira, Viviane P. es_ES
dc.date.accessioned 2014-09-16T14:10:22Z
dc.date.issued 2013
dc.identifier.isbn 978-3-642-40801-4
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/39683
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40802-1_19 es_ES
dc.description.abstract Research in external plagiarism detection is mainly concerned with the comparison of the textual contents of a suspicious document against the contents of a collection of original documents. More recently, methods that try to detect plagiarism based on citation patterns have been proposed. These methods are particularly useful for detecting plagiarism in scientific publications. In this work, we assess the value of identifying co-occurrences in citations by checking whether this method can identify cases of plagiarism in a dataset of scientific papers. Our results show that most the cases in which co-occurrences were found indeed correspond to plagiarised passages es_ES
dc.description.sponsorship This work was partially funded by CNPq (478979/2012-6). Solange Pertile’s 5-month internship at NLE Lab of Universitat Polit`ecnica de Val`encia was funded by CAPES. P.Rosso’s work was carried out in the framework of the the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems and the European Commission WIQ-EI IRSES (no. 269180) and DIANA-APPLICATIONSFinding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) research projects. We thank the authors of [5] for sharing their dataset with us and Enrique Flores for the preliminary brainstorming on how to identify co-occurrences in citations
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Information Access Evaluation. Multilinguality, Multimodality, and Visualization es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Counting co-occurrences in citations to identify plagiarised text fragments es_ES
dc.type Capítulo de libro es_ES
dc.embargo.lift 10000-01-01
dc.identifier.doi 10.1007/978-3-642-40802-1_19
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/
dc.relation.projectID info:eu-repo/grantAgreement/CNPq//478979%2F2012-6/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/ 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 Pertile, SDL.; Rosso, P.; Moreira, VP. (2013). Counting co-occurrences in citations to identify plagiarised text fragments. En Information Access Evaluation. Multilinguality, Multimodality, and Visualization. Springer Verlag (Germany). 150-154. https://doi.org/10.1007/978-3-642-40802-1_19 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-40802-1_19 es_ES
dc.description.upvformatpinicio 150 es_ES
dc.description.upvformatpfin 154 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 255809
dc.contributor.funder Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil
dc.contributor.funder Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brasil
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references CrossCheck, http://www.crossref.org/crosscheck/ es_ES
dc.description.references Journal of Zhejiang University-Science, http://www.zju.edu.cn/jzus/ es_ES
dc.description.references PAN, http://www.pan.webis.de es_ES
dc.description.references Plagiarism corpus, http://www.c2learn.com/plagiarism/corpus/v1/ es_ES
dc.description.references Alzahrani, S., Palade, V., Salim, N., Abraham, A.: Using structural information and citation evidence to detect significant plagiarism cases in scientific publications. JASIST 63(2), 286–312 (2012) es_ES
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dc.description.references Potthast, M., Barrón-Cedeño, A., Stein, B., Rosso, P.: Cross-language plagiarism detection. Language Resources and Evaluation 45(1), 45–62 (2011) es_ES
dc.description.references Potthast, M., Gollub, T., Hagen, M., Tippmann, M., Kiesel, J., Stamatatos, E., Rosso, P., Stein, B.: Overview of the 5th International Competition on Plagiarism Detection. In: CLEF 2013 - Working Notes (September 2013) es_ES
dc.description.references Ritt, M., Costa, A.M., Mergen, S., Orengo, V.M.: An integer linear programming approach for approximate string comparison. European Journal of Operational Research 198(3), 706–714 (2009) es_ES
dc.description.references Zhang, Y.: Crosscheck: an effective tool for detecting plagiarism. Learned Publishing 23, 9–14 (2010) es_ES


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