面向汉语句法功能分布知识库的词汇类别知识挖掘研究

Research of Mining the Word Category Knowledge for Chinese Syntactic Function Distribution Knowledge Base

基于清华大学汉语树库,通过多叉树存储结构,构建汉语词汇的句法功能分布知识库。在构建的句法功能分布知识库基础上,利用Sparse Feature Clustering(SFC)中的K-medoids聚类算法,对汉语词汇的类别知识进行挖掘探究。

According to the Chinese word syntactic function distribution, the paper constructs syntactic function distribu- tion knowledge in multi -way tree storage structure base based on Tsinghua treebank. The Chinese word category knowl- edge is mined by using the K - medoids clustering algorithm of Sparse Feature Clustering based on syntactic function distri- bution knowledge base.