Abstract
Determining the direction of plagiarism (who plagiarized whom in a given pair of documents) is one of the most interesting problems in the field of automatic plagiarism detection. We present here an approach using an extension of the method Encoplot, which won the 1st international competition on plagiarism detection in 2009. We have tested it on a large-scale corpus of artificial plagiarism, with good results.
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References
Project Gutenberg (1971), http://www.gutenberg.org
Baker, R.K., Thornton, B., Adams, M.: An Evaluation of The Effectiveness of Turnitin. Com As A Tool For Reducing Plagiaris in Graduate Student Term Papers. College Teaching Methods & Styles Journal 4(9) (2008)
Basile, C., Cristadoro, G., Benedetto, D., Caglioti, E., Degli Esposti, M.: A plagiarism detection procedure in three steps: selection, matches and squares. In: 3rd Pan Workshop. Uncovering Plagiarism, Authorship and Social Software Misuse, p. 19
Clough, P.: Old and new challenges in automatic plagiarism detection. National Plagiarism Advisory Service (2003)
Corry, L., Renn, J., Stachel, J.: Belated decision in the Hilbert-Einstein priority dispute. Science 278(5341), 1270 (1997)
Errami, M., Hicks, J.M., Fisher, W., Trusty, D., Wren, J.D., Long, T.C., Garner, H.R.: Deja vu A study of duplicate citations in Medline. Bioinformatics 24(2), 243 (2008)
Freire, M., Cebrian, M.: Design of the AC Academic Plagiarism Detection System. Technical report, Tech. rep., Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain (November 2008)
Grozea, C.: Plagiarism detection with state of the art compression programs. Report CDMTCS-247, Centre for Discrete Mathematics and Theoretical Computer Science, University of Auckland, Auckland, New Zealand (August 2004)
Grozea, C., Gehl, C., Popescu, M.: ENCOPLOT: Pairwise Sequence Matching in Linear Time Applied to Plagiarism Detection. In: 3rd Pan Workshop. Uncovering Plagiarism, Authorship and Social Software Misuse, p. 10
Potthast, M., Stein, B., Eiselt, A., Barrón-Cedeño, A., Rosso, P.: Overview of the 1st International Competition on Plagiarism Detection. In: 3rd Pan Workshop. Uncovering Plagiarism, Authorship and Social Software Misuse, p. 1
Roos, T., Heikkila, T.: Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets. Literary and Linguistic Computing 24(4) (2009)
Ryu, C.K., Kim, H.J., Cho, H.G.: A detecting and tracing algorithm for unauthorized internet-news plagiarism using spatio-temporal document evolution model. In: Proceedings of the 2009 ACM symposium on Applied Computing, pp. 863–868. ACM, New York (2009)
Ryu, C.K., Kim, H.J., Ji, S.H., Woo, G., Cho, H.G.: Detecting and tracing plagiarized documents by reconstruction plagiarism-evolution tree. In: CIT, p. 119 (2008)
Sauer, T.: Einstein Equations and Hilbert Action: What is missing on page 8 of the proofs for Hilbert’s First Communication on the Foundations of Physics?. Archive for history of exact sciences 59(6), 577–590 (2005)
Webis at Bauhaus-Universität Weimar and NLEL at Universidad Politécnica de Valencia. In: Potthast, M., Eiselt, A., Stein, B., Cedeño, A.B., Rosso, P. (eds.) PAN Plagiarism Corpus PAN-PC 2009 (2009), http://www.webis.de/research/corpora
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Grozea, C., Popescu, M. (2010). Who’s the Thief? Automatic Detection of the Direction of Plagiarism. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2010. Lecture Notes in Computer Science, vol 6008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12116-6_59
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DOI: https://doi.org/10.1007/978-3-642-12116-6_59
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