SUDMAD: Sequential and unsupervised decomposition of a multi-author document based on a hidden markov model-Reference-Cited by-同舟云学术

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

Published:2017-09-29 Issue:2 Volume:69 Page:201-214
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Journal of the Association for Information Science and Technology

Author:

Aldebei Khaled¹²,He Xiangjian³,Jia Wenjing¹,Yeh Weichang⁴

Affiliation:

1. Global Big Data Technologies Centre; University of Technology Sydney; Australia

2. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control; Minjiang University; Fuzhou Fujian 350121 China

3. Global Big Data Technologies Centre; University of Technology Sydney, Australia. School of Software and Microelectronics, Northwestern Polytechnical University; China

4. Department of Industrial Engineering and Engineering Management; National Tsing Hua University; Taiwan

Funder

Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University)

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

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