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Non-hierarchical Relations Extraction of Chinese Texts Based on Grammar Rules and Improved Association Rules
Received date: 2013-09-23
Revised date: 2013-11-01
Online published: 2013-11-20
There is lack of non-hierarchical relations extraction suitable for Chinese texts. Association Rules do not effectively extract vocabulary relations concentrated in part of the text. This paper defines a set of non-hierarchical relations extraction rules of Chinese texts and an improved association rules based on average value. The practical results show that non-hierarchical relations extraction rules of Chinese texts can efficiently extract subject, predicate and object in Chinese texts, and form the non-hierarchical relations. Improved association rules can extract non-hierarchical relations of the vocabulary concentrated in part of the text.
Yu Fan , Cheng Hong , Lou Wen . Non-hierarchical Relations Extraction of Chinese Texts Based on Grammar Rules and Improved Association Rules[J]. Library and Information Service, 2013 , 57(22) : 126 -131,147 . DOI: 10.7536/j.issn.0252-3116.2013.22.020
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