Title
Plagiarism meets paraphrasing: Insights for the next generation in automatic plagiarism detection
Abstract
Although paraphrasing is the linguistic mechanism underlying many plagiarism cases, little attention has been paid to its analysis in the framework of automatic plagiarism detection. Therefore, state-of-the-art plagiarism detectors find it difficult to detect cases of paraphrase plagiarism. In this article, we analyze the relationship between paraphrasing and plagiarism, paying special attention to which paraphrase phenomena underlie acts of plagiarism and which of them are detected by plagiarism detection systems. With this aim in mind, we created the P4P corpus, a new resource that uses a paraphrase typology to annotate a subset of the PAN-PC-10 corpus for automatic plagiarism detection. The results of the Second International Competition on Plagiarism Detection were analyzed in the light of this annotation. The presented experiments show that i more complex paraphrase phenomena and a high density of paraphrase mechanisms make plagiarism detection more difficult, ii lexical substitutions are the paraphrase mechanisms used the most when plagiarizing, and iii paraphrase mechanisms tend to shorten the plagiarized text. For the first time, the paraphrase mechanisms behind plagiarism have been analyzed, providing critical insights for the improvement of automatic plagiarism detection systems.
Year
DOI
Venue
2013
10.1162/COLI_a_00153
Computational Linguistics
Keywords
Field
DocType
plagiarism detection,automatic plagiarism detection,complex paraphrase phenomenon,state-of-the-art plagiarism detector,paraphrase plagiarism,automatic plagiarism detection system,plagiarism detection system,paraphrase mechanism,iii paraphrase mechanism,next generation,plagiarism case
Annotation,Plagiarism detection,Computer science,High density,Paraphrase,Natural language processing,Artificial intelligence
Journal
Volume
Issue
ISSN
39
4
0891-2017
Citations 
PageRank 
References 
41
1.52
20
Authors
4
Name
Order
Citations
PageRank
Alberto Barrón-Cedeño134629.35
Marta Vila2675.28
M. Antònia Martí3927.96
paolo rosso41831188.74