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Counting co-occurrences in citations to identify plagiarised text fragments

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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. doi:10.1007/978-3-642-40802-1_19

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/39683

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Title: Counting co-occurrences in citations to identify plagiarised text fragments
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
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 ...[+]
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-40801-4
Source:
Information Access Evaluation. Multilinguality, Multimodality, and Visualization. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-40802-1_19
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-40802-1_19
Series: Lecture Notes in Computer Science;
Project ID: info:eu-repo/grantAgreement/EC/FP7/269180/EU
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40802-1_19
Thanks:
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 ...[+]
Type: Capítulo de libro

References

CrossCheck, http://www.crossref.org/crosscheck/

Journal of Zhejiang University-Science, http://www.zju.edu.cn/jzus/

PAN, http://www.pan.webis.de [+]
CrossCheck, http://www.crossref.org/crosscheck/

Journal of Zhejiang University-Science, http://www.zju.edu.cn/jzus/

PAN, http://www.pan.webis.de

Plagiarism corpus, http://www.c2learn.com/plagiarism/corpus/v1/

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