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An improved plagiarism detection scheme based on semantic role labeling

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 ana...

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Main Authors: Osman, Ahmed Hamza, Salim, Naomie, Binwahlan, Mohammed Salem, Alteeb, Rihab, Abuobieda, Albaraa
Format: Article
Published: 2012
Subjects:
QA76 Computer software
Online Access:http://eprints.utm.my/id/eprint/46593/
https://dx.doi.org/10.1016/j.asoc.2011.12.021
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id my.utm.46593
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spelling my.utm.465932017-09-17T01:01:05Z http://eprints.utm.my/id/eprint/46593/ An improved plagiarism detection scheme based on semantic role labeling Osman, Ahmed Hamza Salim, Naomie Binwahlan, Mohammed Salem Alteeb, Rihab Abuobieda, Albaraa QA76 Computer software 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 Article PeerReviewed Osman, Ahmed Hamza and Salim, Naomie and Binwahlan, Mohammed Salem and Alteeb, Rihab and Abuobieda, Albaraa (2012) An improved plagiarism detection scheme based on semantic role labeling. Applied Soft Computing, 12 (5). pp. 1493-1502. ISSN 1568-4946 https://dx.doi.org/10.1016/j.asoc.2011.12.021
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA76 Computer software
spellingShingle QA76 Computer software
Osman, Ahmed Hamza
Salim, Naomie
Binwahlan, Mohammed Salem
Alteeb, Rihab
Abuobieda, Albaraa
An improved plagiarism detection scheme based on semantic role labeling
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.
format Article
author Osman, Ahmed Hamza
Salim, Naomie
Binwahlan, Mohammed Salem
Alteeb, Rihab
Abuobieda, Albaraa
author_facet Osman, Ahmed Hamza
Salim, Naomie
Binwahlan, Mohammed Salem
Alteeb, Rihab
Abuobieda, Albaraa
author_sort Osman, Ahmed Hamza
title An improved plagiarism detection scheme based on semantic role labeling
title_short An improved plagiarism detection scheme based on semantic role labeling
title_full An improved plagiarism detection scheme based on semantic role labeling
title_fullStr An improved plagiarism detection scheme based on semantic role labeling
title_full_unstemmed An improved plagiarism detection scheme based on semantic role labeling
title_sort improved plagiarism detection scheme based on semantic role labeling
publishDate 2012
url http://eprints.utm.my/id/eprint/46593/
https://dx.doi.org/10.1016/j.asoc.2011.12.021
_version_ 1643652081302634496
score 13.211869

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