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Competition on Plagiarism Detection, Author Identification


 
  
This year's edition divides into three tasks, namely plagiarism detection, author identification, and Wikipedia vandalism detection. Submission deadline May 31.


From:
Competition on Plagiarism Detection, Author Identification, and Wikipedia Vandalism Detection

? Held in conjunction with the CLEF'11 conference
in Amsterdam, Netherlands, September 19-22
pan.webis.de

This year's edition divides into three tasks, namely plagiarism detection, author identification, and Wikipedia vandalism detection.

Plagiarism detection in text documents is a challenging retrieval task: today's detection systems are faced with intricate situations, such as paraphrased plagiarism within and across languages. Moreover, the source of a plagiarism case may be hidden within a large collection of documents such as the Web, or it may not be available at all. Building on the successful evaluation framework developed in the last two years, we continue to add new challenges this year.

Author identification is the task of determining the true author of a text. Throughout history and especially today, many texts are written anonymously or under false names, so that readers may not be certain of a text's alleged author. Within author identification, one of the main challenges is to automatically attribute a text to one of a set of known candidate authors. For the purpose of the evaluation, we have developed a new authorship evaluation corpus.

Vandalism has always been one of Wikipedia's biggest problems. However, the detection of vandalism is done mostly manually by volunteers, and research on automatic vandalism detection is still in its infancy. Hence, solutions are to be developed which aid Wikipedians in their efforts.

We invite researchers and practitioners from all fields to participate.

Important Dates

  • open Registration
  • May 31, 2011 Result submission deadline
  • Jun 30, 2011 Notebook submission deadline
  • Sep 19-22, 2011 Conference
Contact
E-mail: pan@webis.de
Campaign Web page: pan.webis.de


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