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The Research on Concept Semantic Similarity Computing Based on Semantic Tree

机译:基于语义树的概念语义相似度计算研究

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The concept semantic similarity computation has vast application in the question answering system field, semantic similarity is becoming the basis of semantic expansion in the question answering system, and influences the recall rate and precision rate of the question answering system immensely. After we analyze the traditional method of semantic similarity computation, we consider comprehensively the important influential factors: depth, density, strength of the edge and concept semantic overlap degree, concept level difference. The paper presents a semantic tree-based concept semantic similarity computation method, and verifies the algorithmȁ9;s validity.
机译:概念语义相似度计算在问答系统领域有着广泛的应用,语义相似度正在成为问答系统语义扩展的基础,极大地影响了问答系统的查全率和查准率。在分析了传统的语义相似度计算方法之后,我们综合考虑了重要的影响因素:深度,密度,边缘强度和概念语义重叠度,概念层次差异。提出了一种基于语义树的概念语义相似度计算方法,并验证了算法的有效性。

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