Semantic Matching Similarity Algorithm Based on Dependency Trees
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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.