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...
| Published in: | Journal of King Saud University: Computer and Information Sciences |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2015-07-01
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157815000361 |