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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 |
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