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Proceedings of the International Conference on Technology Management and Innovation
By
Hao Xie
Hao Xie
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ISBN:
9780791859612
No. of Pages:
612
Publisher:
ASME Press
Publication date:
2010

It is a complicated text mining task for classify Internet news geography name. Proper noun recognition is one of difficult problem in NLP, in order to achieve proper result, we present a comprehend solution based on geography name knowledge base matching, heuristics decision making and geography name hierarchy induction. To overcome geography knowledge base adoption to Internet news geography name feature's appearance, we add geography knowledge base's self-learning function. According to this solution, we developed a prototype system, and integrated it to SmartICIN, realized trade and geography name feature automatic classification. We tested it using ChinaInfoBank news corpus, experiment result shows it can be accepted more than 85%.

I. Introduction
II. Hierarchial Geography Name Reduce and Geography Name Knowledgebase Construction
III. Geography Name Recognized and Categorization Based on Geography Name Database Matching? Heuristic Decision-Making and Geography Name Inducing
IV. Self-Learning in Geography Name Automatic Categorization System
V. Geography Name Automatic Recognization and Categorization
VI. Experimental Result
References
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