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Polibits
versión On-line ISSN 1870-9044
Polibits no.43 México ene./jun. 2011
Detecting Derivatives using Specific and Invariant Descriptors
Fabien Poulard, Nicolás Hernandez, and Béatrice Daille
University of Nantes / LINA (CNRS UMR 6241), 2 rue de la Houssiniere, B.P. 92208, 44322 Nantes Cedex 3, France (email: first.last@univnantes.fr).
Manuscript received November 9, 2010.
Manuscript accepted for publication January 15, 2011.
Abstract
This paper explores the detection of derivation links between texts (otherwise called plagiarism, nearduplication, revision, etc.) at the document level. We evaluate the use of textual elements implementing the ideas of specificity and invariance as well as their combination to characterize derivatives. We built a French press corpus based on Wikinews revisions to run this evaluation. We obtain performances similar to the state of the art method (ngrams overlap) while reducing the signature size and so, the processing costs. In order to ensure the verifiability and the reproducibility of our results we make our code as well as our corpus available to the community.
Key words: Textual derivatives, detection of derivations, nearduplicates, revisions, linguistic descriptors, French corpus.
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