语法规则和改进关联规则的中文文本非等级关系提取研究

Non-hierarchical Relations Extraction of Chinese Texts Based on Grammar Rules and Improved Association Rules

针对目前适用于中文文本非等级关系提取方法偏少以及关联规则筛选方法忽略了集中出现在部分文本集中的领域词汇关系的问题,通过对中文文本的统计分析,尝试定义一套中文非等级关系提取的规则,同时提出一种加入平均值变量的改进的关联规则。实践证明,基于自定义的语法规则提取方法能够有效地从中文文本中提取出主、谓、宾语,进而提取出非等级关系,改进的关联规则方法能够提取出集中出现在部分文本集中的领域词汇非等级关系。

There is lack of non-hierarchical relations extraction suitable for Chinese texts. Association Rules do not effectively exlracl wcabulary 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 nun-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 ram-hierarchical relations of the wx＇abulary concentrated in part of the text.