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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Bibliographic Details
Published in:	Journal of King Saud University: Computer and Information Sciences
Main Authors:	Salha M. Alzahrani, Naomie Salim, Vasile Palade
Format:	Article
Language:	English
Published:	Springer 2015-07-01
Subjects:	Feature extraction Fuzzy similarity Obfuscation Plagiarism detection Semantic similarity
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157815000361

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