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A Systematic Study of Knowledge Graph Analysis for Cross-language Plagiarism Detection

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A Systematic Study of Knowledge Graph Analysis for Cross-language Plagiarism Detection

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Franco-Salvador, M.; Rosso, P.; Montes Gomez, M. (2016). A Systematic Study of Knowledge Graph Analysis for Cross-language Plagiarism Detection. Information Processing and Management. 52(4):550-570. doi:10.1016/j.ipm.2015.12.004

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/82079

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Title: A Systematic Study of Knowledge Graph Analysis for Cross-language Plagiarism Detection
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
Cross-language plagiarism detection aims to detect plagiarised fragments of text among documents in different languages. In this paper, we perform a systematic examination of Cross-language Knowledge Graph Analysis; an ...[+]
Subjects: Cross-language , Plagiarism detection , Knowledge graphs , Multilingual semantic network , Distributed representations , Evaluation
Copyrigths: Reserva de todos los derechos
Source:
Information Processing and Management. (issn: 0306-4573 )
DOI: 10.1016/j.ipm.2015.12.004
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.ipm.2015.12.004
Description: This is the author’s version of a work that was accepted for publication in Information Processing and Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Processing and Management 52 (2016) 550–570. DOI 10.1016/j.ipm.2015.12.004
Thanks:
This research has been carried out in the framework of the European Commission WIQ-EI IRSES (No. 269180) and DIANA APPLICATIONS - Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) projects. We would ...[+]
Type: Artículo

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