SUDMAD: Sequential and unsupervised decomposition of a multi-author document based on a hidden markov model

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Journal Article
Journal of the Association for Information Science and Technology, 2017
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© 2017 ASIS & T. 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
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