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Paraphrase Plagiarism Identifcation with Character-level Features

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Paraphrase Plagiarism Identifcation with Character-level Features

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Sánchez-Vega, F.; Villatoro-Tello, E.; Montes-Y-Gómez, M.; Rosso, P.; Stamatatos, E.; Villaseñor-Pineda, L. (2019). Paraphrase Plagiarism Identifcation with Character-level Features. Pattern Analysis and Applications. 22(2):669-681. https://doi.org/10.1007/s10044-017-0674-z

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/159992

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Título: Paraphrase Plagiarism Identifcation with Character-level Features
Autor: Sánchez-Vega, Fernando Villatoro-Tello, Esaú Montes-y-Gómez, Manuel Rosso, Paolo Stamatatos, Efstathios Villaseñor-Pineda, Luis
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[EN] Several methods have been proposed for determining plagiarism between pairs of sentences, passages or even full documents. However, the majority of these methods fail to reliably detect paraphrase plagiarism due to ...[+]
Palabras clave: Plagiarism identification , Paraphrase plagiarism , Text reuse , Character n-grams , Stylistic representation
Derechos de uso: Reserva de todos los derechos
Fuente:
Pattern Analysis and Applications. (issn: 1433-7541 )
DOI: 10.1007/s10044-017-0674-z
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s10044-017-0674-z
Código del Proyecto:
info:eu-repo/grantAgreement/CONACyT//FC 2016-2410/
...[+]
info:eu-repo/grantAgreement/CONACyT//FC 2016-2410/
info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/
info:eu-repo/grantAgreement/CONACyT//258588/
info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F030/ES/ Adaptive learning and multimodality in machine translation and text transcription/
info:eu-repo/grantAgreement/CONACyT//258345%2F224483/
info:eu-repo/grantAgreement/MINECO//TIN2015-71147-C2-1-P/ES/COMPRENSION DEL LENGUAJE EN LOS MEDIOS DE COMUNICACION SOCIAL - REPRESENTANDO CONTEXTOS DE FORMA CONTINUA/
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Agradecimientos:
This work is the result of the collaboration in the framework of the CONACYT Thematic Networks program (RedTTL Language Technologies Network) and the WIQ-EI IRSES project (Grant No. 269180) within the FP7 Marie Curie action. ...[+]
Tipo: Artículo

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