Medical News of North Caucasus.
Stavropol State Medical University.
Том 12.
2017.
С. 455-458
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.