Uncovering highly obfuscated plagiarism cases using fuzzy semantic-based similarity model
Highly obfuscated plagiarism cases contain unseen and obfuscated texts, which pose difficulties when using existing plagiarism detection methods. A fuzzy semantic-based similarity model for uncovering obfuscated plagiarism is presented and compared with five state-of-the-art baselines. Semantic rela...
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| Main Authors: | , , |
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| Format: | Article |
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King Saud University
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/55950/ http://dx.doi.org/10.1016/j.jksuci.2014.12.001 |
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