期刊论文

中文

情报学报

1000-0135

2013

32

3

270-280

10.3772/j.issn.1000-0135.2013.03.006

国家社会科学基金重点项目(11AZD090)

本校为第一机构

传统上,检索系统利用基于词语共现分析所生成的自构造词表,即词词关联矩阵来实现模糊检索,这种方式生成的词表存在词间关系单一、语词假相关、词义控制差等问题.本文结合传统叙词表,对自构造词表的词间关联度算法进行了改进,新算法丰富了词间关系类型.实证分析表明,新算法有助于提升系统的检索效率.本文首先阐明词间关联度现有算法及关系数据处理方式,并指出现有算法存在的问题,然后引入叙词表控制机制,针对四种词间关系控制情形提出了各自的词间关联度改进算法.最后通过集合从理论上分析改进算法和现有算法,并借助语词关系网实证改进算法对语词关系网的关联性的影响.

Traditionally, the fuzzy retrieval model use co-occurrence matrix to automatically generate source thesaurus, the co-occurrence matrix is also named ＂keyword connection matrix＂ , but there are some problems using this method, such as single concept relations, pseudo-correlation, badly control of word sense etc. By using the traditional thesaurus function, this article improves the existing algorithm on term-term relative value that riches the types of concept relations. It also been testified that it is helpful to improve retrieval efficiency...