互联网同义词搜索中的词义聚类问题研究

Study on Semantic Clustering for Synonyms Retrieval from the Internet

从互联网中搜索同义词具有非常重要的理论意义和应用意义,但同时也存在一词多义情况下无法对不同词义的同义词进行区分的问题。针对这一问题,提出一种对互联网同义词搜索结果按照词义聚类的方法,该方法利用术语间的词义关系转化为图结构,实现词义自动聚类,无需人工干预和学科领域知识,能够达到较高的聚类准确性。

It is of profound theoretical and practical significance for retrieving synonyms from the Web. However, it is also a challenging task to classify a term＇ s synonyms because of polysemy. This paper deeply probes into this problem and proposes a method which can automatically cluster the synonyms retrieval result of a given term from the Internet. The experiments prove that this method can achieve a good performance without any manual participation and domain knowledge.