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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
An improved plagiarism detection scheme based on semantic role labeling
Applied Soft Computing Journal, Volume 12, No. 5, Year 2012
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Description
Plagiarism occurs when the content is copied without permission or citation. One of the contributing factors is that many text documents on the internet are easily copied and accessed. This paper introduces a plagiarism detection technique based on the Semantic Role Labeling (SRL). The technique analyses and compares text based on the semantic allocation for each term inside the sentence. SRL is superior in generating arguments for each sentence semantically. Weighting for each argument generated by SRL to study its behaviour is also introduced in this paper. It was found that not all arguments affect the plagiarism detection process. In addition, experimental results on PAN-PC-09 data sets showed that our method significantly outperforms the modern methods for plagiarism detection in terms of Recall, Precision and F-measure. © 2012 Elsevier B.V. All rights reserved.
Authors & Co-Authors
Osman, Ahmed Hamza
Malaysia, Johor Bahru
Universiti Teknologi Malaysia
Sudan, Khartoum
International University of Africa
Naomie, Salim Binti
Malaysia, Johor Bahru
Universiti Teknologi Malaysia
Binwahlan, Mohammed Salem Farag
Yemen, Mukalla
Hadhramout University of Science and Technology
Alteeb, Rihab
Sudan, Khartoum
Sudan University of Science and Technology
Abuobieda, Albaraa
Malaysia, Johor Bahru
Universiti Teknologi Malaysia
Sudan, Khartoum
International University of Africa
Statistics
Citations: 107
Authors: 5
Affiliations: 4
Identifiers
Doi:
10.1016/j.asoc.2011.12.021
ISSN:
15684946