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New Technology of Library and Information Service  2007, Vol. 2 Issue (7): 50-53    DOI: 10.11925/infotech.1003-3513.2007.07.12
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Nested Vector Segmentation Technique in Knowledge Extraction
Hua Bolin   Zhao Liang
(Institute of Scientific and Technical Information of China, Beijing 100038, China)
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Well-known algorithm of maximum matching method is implemented in the process of knowledge extraction, and drawn a conclusion about critical techniques of vector segmentation. Nested vector segmentation is designed and implemented on account of disadvantage of once scanning. According to experiment, nested vector segmentation is used in knowledge extraction, it not only improves precision and recall, which resolves the problem of word in word radically, but also provides convenience to following syntactic analysis.

Key wordsKnowledge extraction      Maximum matching method      Lexical analysis      Segmenting technique      Nested vector segmentation     
Received: 11 May 2007      Published: 25 July 2007



Corresponding Authors: Hua Bolin     E-mail:
About author:: Hua Bolin,Zhao Liang

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Hua Bolin,Zhao Liang. Nested Vector Segmentation Technique in Knowledge Extraction. New Technology of Library and Information Service, 2007, 2(7): 50-53.

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