The ParaPlag: Russian dataset for paraphrased plagiarism detection

The paper presents the ParaPlag: a large text dataset in Russian to evaluate and compare quality metrics of different plagiarism detection approaches that deal with big data. The competition PlagEvalRus-2017 aimed to evaluate plagiarism detection methods uses the ParaPlag as a main dataset for source retrieval and text alignment tasks. The ParaPlag is open and available on the Web. We propose a guide for writers who want to contribute to the ParaPlag and extend it. The analysis of text rewrite techniques used by unscrupulous authors is also presented in our research.

Authors
Publisher
Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet
Number of issue
16
Language
English
Pages
284-296
Status
Published
Volume
1
Year
2017
Organizations
  • 1 RUDN University, Moscow, Russian Federation
  • 2 Federal Research Center Computer Science and Control, Russian Academy of Sciences, Moscow, Russian Federation
  • 3 Institute for Systems Analysis, Federal Research Center Computer Science and Control, Russian Academy of Sciences, Moscow, Russian Federation
Keywords
Dataset for plagiarism detection evaluation; Paraphrased plagiarism detection; Text reuse detection
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