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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 22 | Page No.: 6543-6547
DOI: 10.3923/itj.2013.6543.6547
Algorithms of Generating and Recognizing the Abbreviation of Chinese Organization Names
Zhou Faguo, Zhao Meijiao, Sun Zhen, Zhao Jie, Sun Tai and Li Shengfei

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.

Keywords: Named entity recognition, organization name, information extraction and abbreviation name of organization

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