Metrics based performance control over text mining tools in bioinformatics
Proceedings of the International Conference on Advances in Computing, Communication and Control
Proceedings of the 11th ACM symposium on Document engineering
Who's the thief? automatic detection of the direction of plagiarism
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
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Motivation: Duplicate publication impacts the quality of the scientific corpus, has been difficult to detect, and studies this far have been limited in scope and size. Using text similarity searches, we were able to identify signatures of duplicate citations among a body of abstracts. Results: A sample of 62 213 Medline citations was examined and a database of manually verified duplicate citations was created to study author publication behavior. We found that 0.04% of the citations with no shared authors were highly similar and are thus potential cases of plagiarism. 1.35% with shared authors were sufficiently similar to be considered a duplicate. Extrapolating, this would correspond to 3500 and 117 500 duplicate citations in total, respectively. Availability: eTBLAST, an automated citation matching tool, and Déjà vu, the duplicate citation database, are freely available at http://invention.swmed.edu/ and http://spore.swmed.edu/dejavu Contact: harold.garner@utsouthwestern.edu