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.

Авторы
Издательство
Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet
Номер выпуска
16
Язык
Английский
Страницы
399-408
Статус
Опубликовано
Том
1
Год
2017
Организации
  • 1 RUDN University, Moscow, Russian Federation
  • 2 Federal Research Center Computer Science and Control, Russian Academy of Sciences, Moscow, Russian Federation
Ключевые слова
Plagiarism detection; Plagiarism detection evaluation; Sentence similarity
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