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Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing

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Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing

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dc.contributor.author Franco-Salvador, Marc es_ES
dc.contributor.author Gupta, Parth es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2015-05-06T09:12:05Z
dc.date.available 2015-05-06T09:12:05Z
dc.date.issued 2013
dc.identifier.isbn 978-3-642-54797-3
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/49758
dc.description.abstract Cross-language plagiarism detection attempts to identify and extract automatically plagiarism among documents in different languages. Plagiarized fragments can be translated verbatim copies or may alter their structure to hide the copying, which is known as paraphrasing and is more difficult to detect. In order to improve the paraphrasing detection, we use a knowledge graph-based approach to obtain and compare context models of document fragments in different languages. Experimental results in German-English and Spanish-English cross-language plagiarism detection indicate that our knowledge graph-based approach offers a better performance compared to other state-of-the-art models. es_ES
dc.description.sponsorship The research has been carried out in the framework of the European Commission WIQ-EIIRSES (no. 269180) and DIANA-APPLICATIONS - Finding Hidden Knowledge in Texts:Applications (TIN2012-38603-C02-01) projects as well as the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Bridging Between Information Retrieval and Databases: PROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;8173
dc.rights Reserva de todos los derechos es_ES
dc.subject Cross-language plagiarism detection es_ES
dc.subject Textual similarity es_ES
dc.subject Paraphrasing es_ES
dc.subject Knowledge graphs es_ES
dc.subject BabelNet es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-642-54798-0_12
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/ 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 Franco-Salvador, M.; Gupta, P.; Rosso, P. (2013). Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing. En Bridging Between Information Retrieval and Databases: PROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures. Springer Verlag (Germany). 227-236. https://doi.org/10.1007/978-3-642-54798-0_12 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-54798-0_12 es_ES
dc.description.upvformatpinicio 227 es_ES
dc.description.upvformatpfin 236 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 286242
dc.contributor.funder European Commission es_ES
dc.contributor.funder Universitat de València es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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