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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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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. doi:10.1007/978-3-642-54798-0_12

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Title: Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
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 ...[+]
Subjects: Cross-language plagiarism detection , Textual similarity , Paraphrasing , Knowledge graphs , BabelNet
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-54797-3
Source:
Bridging Between Information Retrieval and Databases: PROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-54798-0_12
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-54798-0_12
Series: Lecture Notes in Computer Science;8173
Type: Capítulo de libro

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