Abstract
When there are two documents that share similar content, either accidentally or intentionally, the knowledge about which one of the two is the original source of the content is unknown in most cases. This knowledge can be crucial in order to charge or acquit someone of plagiarism, to establish the provenance of a document or in the case of sensitive information, to make sure that you can rely on the source of the information. Our system identifies the original document by using the idea that the pieces of text written by the same author have higher resemblance to each other than to those written by different authors. Given two pairs of documents with shared content, our system compares the shared part with the remaining text in both of the documents by treating them as bag of words. For cases when there is no reference text by one of the authors to compare against, our system makes predictions based on similarity of the shared content to just one of the documents.
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Shrestha, P., Solorio, T. (2015). Identification of Original Document by Using Textual Similarities. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2015. Lecture Notes in Computer Science(), vol 9042. Springer, Cham. https://doi.org/10.1007/978-3-319-18117-2_48
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DOI: https://doi.org/10.1007/978-3-319-18117-2_48
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18116-5
Online ISBN: 978-3-319-18117-2
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