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Architecture of Knowledge Extraction Based on NLP |
Hua Bolin |
(Institute of Scientific and Technical Information of China, Beijing 100038,China) |
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Abstract Based on the studies of system architecture of NLP platform and knowledge extraction system, the author brings forth a detailed resolution on how to design a knowledge extraction system based on NLP. NLP technique includes eight modules, such as segmentation, part-of speech tag, syntactic analysis and semantic analysis. Knowledge extraction includes four modules, such as documents type analysis, discourse analysis, knowledge extraction and knowledge representation. Research on system architecture of knowledge extraction based on NLP is beneficial to not only find relations between NLP and knowledge extraction, but also analyze system flow and critical technology of knowledge extraction.
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Received: 04 July 2007
Published: 25 October 2007
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Corresponding Authors:
Hua Bolin
E-mail: huabolin@istic.ac.cn
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About author:: Hua Bolin |
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