Semantic Matching Similarity Algorithm Based on Dependency Trees

Abstract

The measure of semantic matching similarity is widely used in question answering system, knowledge discovery, search engine and other fields. This paper presents a semantic matching similarity algorithm based on dependency trees, through the analysis of statements to generate a new dependent tree model. Through experimental analysis, our algorithm has a better correct rates as compared to the traditional algorithm at a reasonable weight.