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A Method of Domain Compound Concept Extraction Based on Multilevel Filter
Abstract:
Identification and extraction in domain compound concept is the basis of the domain text information processing. This paper builds a multilevel filter extraction model by fusing the thought of statistics and language rule. Firstly, the extraction model screening out domain atomic concept set by using method of improved TF-IDF. We secondly build a space combination rule, screening out initial domain compound concept set. Ultimately we screening out finally domain compound concept set by using POS rules template matching via POS analysis. Experiments show that this method can effectively identify and extract domain compound concept and F-measure has reached 83.9%.
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Pages:
2292-2296
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Online since:
July 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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