CopyCaptor: PPlagiarized source retrieval system using global word frequency and local feedback: Notebook for PAN at CLEF 2013

Taemin Lee, Jeongmin Chae, Kinam Park, Soon Young Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


In this paper, we present a plagiarized source retrieval system called CopyCaptor using global word frequency and local feedback to generate an effective query for finding plagiarized source documents from the given suspicious document on PAN'13 source retrieval task. The system achieved 3rd place in competition with 0.33 F1 score, 0.50 precision and 0.33 recall on the test which find appropriate source documents of 58 suspicious documents from approx. 1 billion web pages.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Publication statusPublished - 2013
Event2013 Working Notes for CLEF Conference, CLEF 2013 - Valencia, Spain
Duration: 2013 Sep 232013 Sep 26


Other2013 Working Notes for CLEF Conference, CLEF 2013


ASJC Scopus subject areas

  • Computer Science(all)

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