Detection of idea plagiarism using syntax-Semantic concept extractions with genetic algorithm

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• 作者：Vani K^a ; ^{vani5019@gmail.com} ; ^{k_vani@blr.amrita.edu} ; Deepa Gupta^b ; ^{g_deepa@blr.amrita.edu}
• 关键词：Idea plagiarism ; Concept extraction ; Syntax-semantic ; Genetic algorithm ; Summary obfuscation
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：1 May 2017
• 年：2017
• 卷：73
• 期：Complete
• 页码：11-26
• 全文大小：1731 K
• 卷排序：73

文摘

A syntax-semantic concept extraction technique with genetic algorithm is proposed for idea plagiarism detection. Concept extraction at different structural levels of document is done to capture the idea. Evaluation is done on PAN summary obfuscation set which represents idea plagiarism cases. Comparison is done with state-of -art systems and the results show considerable improvement.