2017
DOI: 10.1002/asi.23956
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SUDMAD: Sequential and unsupervised decomposition of a multi‐author document based on a hidden markov model

Abstract: Decomposing a document written by more than one author into sentences based on authorship is of great significance due to the increasing demand for plagiarism detection, forensic analysis, civil law (i.e., disputed copyright issues), and intelligence issues that involve disputed anonymous documents. Among existing studies for document decomposition, some were limited by specific languages, according to topics or restricted to a document of two authors, and their accuracies have big room for improvement. In thi… Show more

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References 31 publications
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