Title: ANEEC: A Quasi-Automatic System for Massive Named Entity Extraction and Categorization
Abstract: Journal Article ANEEC: A Quasi-Automatic System for Massive Named Entity Extraction and Categorization Get access Bingyue Peng, Bingyue Peng 1Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, School of Economics and Management, Beihang University, Beijing 100191, China Search for other works by this author on: Oxford Academic Google Scholar Junjie Wu, Junjie Wu 1Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, School of Economics and Management, Beihang University, Beijing 100191, China Search for other works by this author on: Oxford Academic Google Scholar Hua Yuan, Hua Yuan 2School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China Search for other works by this author on: Oxford Academic Google Scholar Qingwei Guo, Qingwei Guo 3Microsoft Research Search Technology Center, No. 5 Dan Ling Street, Haidian District, Beijing 100080, China Search for other works by this author on: Oxford Academic Google Scholar Dacheng Tao Dacheng Tao * 4Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia *Corresponding author: [email protected] Search for other works by this author on: Oxford Academic Google Scholar The Computer Journal, Volume 56, Issue 11, November 2013, Pages 1328–1346, https://doi.org/10.1093/comjnl/bxs114 Published: 05 September 2012 Article history Received: 03 February 2012 Revision received: 01 June 2012 Published: 05 September 2012
Publication Year: 2012
Publication Date: 2012-09-05
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 3
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