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Information Journal Paper

Title

PLAGIARISM DETECTION IN THE SCIENTIFIC PAPERS USING SEMANTIC ROLE LABELING AND GENETIC ALGORITHM

Pages

  67-79

Abstract

 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.

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    APA: Copy

    YAGHOBI, REZVAN, & KHOTANLOO, HASAN. (2015). PLAGIARISM DETECTION IN THE SCIENTIFIC PAPERS USING SEMANTIC ROLE LABELING AND GENETIC ALGORITHM. ELECTRONIC INDUSTRIES, 6(3), 67-79. SID. https://sid.ir/paper/229667/en

    Vancouver: Copy

    YAGHOBI REZVAN, KHOTANLOO HASAN. PLAGIARISM DETECTION IN THE SCIENTIFIC PAPERS USING SEMANTIC ROLE LABELING AND GENETIC ALGORITHM. ELECTRONIC INDUSTRIES[Internet]. 2015;6(3):67-79. Available from: https://sid.ir/paper/229667/en

    IEEE: Copy

    REZVAN YAGHOBI, and HASAN KHOTANLOO, “PLAGIARISM DETECTION IN THE SCIENTIFIC PAPERS USING SEMANTIC ROLE LABELING AND GENETIC ALGORITHM,” ELECTRONIC INDUSTRIES, vol. 6, no. 3, pp. 67–79, 2015, [Online]. Available: https://sid.ir/paper/229667/en

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