A Study on Efficient Semantic Similar Words Searching
Zhenglu Yang, Masaru Kitsuregawa · 2012
Abstract Measuring the semantic meaning between words is an important issue because it is the basis for many applications, such as word sense disambiguation, document summarization, and so forth. Although it has been explored for several decades, most of the studies focus on improving the effectiveness of the problem, i.e., precision and recall. In this paper, we study the efficiency issue, that given a collection of words, how to efficiently discover the most semantic similar words to the query. An extensive comparative experimental evaluation has been conducted to illustrate the effect of different strategies on the issue.