Double Funding of Scientific Projects: Similarity and Plagiarism Detection

The paper addresses the problem of scientific projects double funding. New methods for text similarity and plagiarism detection in scientific projects are proposed. An empirical evaluation of proposed methods is given. The data was provided by the Russian Foundation for Basic Research.

Авторы
Zubarev D.V. 1, 2 , Sochenkov I.V. 1, 2 , Tikhomirov I.A. 1 , Grigoriev O.G.1
Сборник материалов конференции
Data Analytics and Management in Data Intensive Domains
Издательство
Voronezh State University
Язык
Английский
Страницы
282-285
Статус
Опубликовано
Год
2017
Организации
  • 1 Federal Research Center Computer Science and Control of the Russian Academy of Sciences
  • 2 Peoples Friendship University of Russia
Ключевые слова
text similarity; plagiarism detection; scientific projects; double funding
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