Osman, A. H. and Salim, Naomie and Binwahlan, M. S. and Twaha, S. and Kumar, Y. J. and Abuobieda, A. (2012) Plagiarism detection scheme based on semantic role labeling. In: Proceedings - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12. IEEE, New York, USA, pp. 30-33. ISBN 978-146731090-1
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Official URL: http://dx.doi.org/10.1109/InfRKM.2012.6204978
Abstract
Nowadays, many documents are available on the internet and are easy to access. Due to this wide availability, users can easily create a new document by copying and pasting. Plagiarism occurs when the content is copied without permission or citation. 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. In addition, experimental results on PAN-PC-09 data sets showed that our method outperforms the modern methods for plagiarism detection in terms of Recall, Precision and F-measure.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | arguments, plagiarism detection, semantic role, semantic similarity |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science and Information System |
| ID Code: | 35748 |
| Deposited By: | Fazli Masari |
| Deposited On: | 29 Oct 2013 00:47 |
| Last Modified: | 04 Feb 2017 05:54 |
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