Advances towards semantic plagiarism detection

Katja Hose*, Hassan Issa, Steffen Metzger, Ralf Schenkel

*Kontaktforfatter

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

Abstract

Recent events have again shown that plagiarism detection is an important problem in today's society. The flood of documents, however, makes detection more and more difficult so that the application of computer-based methods is a natural consequence. The application of text comparison techniques, however, eventually leads to 'intelligent' plagiarism, where sentences are slightly rephrased or synonyms are used. To help detecting such plagiarism, we propose to use semantic similarity between documents based on information extracting techniques. This notion is also useful for other applications such as finding similar news articles and research papers.

OriginalsprogEngelsk
Publikationsdato1 dec. 2011
Antal sider4
StatusUdgivet - 1 dec. 2011
Udgivet eksterntJa
BegivenhedSymposium on Learning, Knowledge, and Adaptivity 2011, LWA 2011 - Magdeburg, Tyskland
Varighed: 28 sep. 201130 sep. 2011

Konference

KonferenceSymposium on Learning, Knowledge, and Adaptivity 2011, LWA 2011
Land/OmrådeTyskland
ByMagdeburg
Periode28/09/201130/09/2011

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