Plagiarism detection in the scientific papers using semantic role labeling and Genetic algorithm

In recent years, Plagiarism has been easier through increasing development of internet and online papers. Plagiarism is to reuse or copy a text without referencing to the original author. Plagiarism or fraud in schools and universities will be a stimulating factor for researchers. If plagiarism was not identified correctly, cheaters and Plagiarists could get results that are not deserved.This paper presents a method based on the semantic role labeling (SRL) and Genetic Algorithm (GA). The Proposed method works on English texts. Results of the experiments on PAN-PC-9 corpus demonstrate that the proposed method improves values of evaluation parameters such as recall, precision and F-measure, comparing with previous approaches in plagiarism detection.