Zhou Faguo
School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, 100083, China
Zhao Meijiao
School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, 100083, China
Sun Zhen
National Administration for Code Allocation to Organizations, Beijing, 100029, China
Zhao Jie
National Administration for Code Allocation to Organizations, Beijing, 100029, China
Sun Tai
National Administration for Code Allocation to Organizations, Beijing, 100029, China
Li Shengfei
National Administration for Code Allocation to Organizations, Beijing, 100029, China
ABSTRACT
Named Entity Recognition (NER) is a meaningful part of the research of natural language document understanding and it is an important branch of natural language processing. Organization name recognition is an important task in NER of Information Extraction (IE), which intends to recognize and extract organization name from unstructured text documents. In this study, on the basis of the research status quo of the researchers and experts both in China and abroad, some abbreviation name recognition algorithms of organization are proposed. The first algorithm is generating the abbreviation names of organizations, the second is recognizing the abbreviation names of organizations and the third is to match the abbreviation name and its full name.
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How to cite this article
Zhou Faguo, Zhao Meijiao, Sun Zhen, Zhao Jie, Sun Tai and Li Shengfei, 2013. Algorithms of Generating and Recognizing the Abbreviation of Chinese Organization
Names. Information Technology Journal, 12: 6543-6547.
DOI: 10.3923/itj.2013.6543.6547
URL: https://scialert.net/abstract/?doi=itj.2013.6543.6547
DOI: 10.3923/itj.2013.6543.6547
URL: https://scialert.net/abstract/?doi=itj.2013.6543.6547
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