Paraphrased plagiarism detection using sentence similarity

The paper describes an approach to plagiarism detection within Plag-EvalRus-2017 competition. Our system leverages deep parsing techniques to be able to detect moderately disguised plagiarism. We participated in the two tracks of the competition: source retrieval (sources detection) and text alignment (paraphrased plagiarism detection). There are various cases of plagiarism presented in datasets of both tracks. They vary by the level of disguise that was used while reusing text. The results show that our method performed quite well for detecting moderately disguised forms of plagiarism.

Publisher
Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet
Number of issue
16
Language
English
Pages
399-408
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
Keywords
Plagiarism detection; Plagiarism detection evaluation; Sentence similarity
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/6039/
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