关键词: 词义相似度, 《同义词词林》, 深度, 鱼群算法

Abstract:

To solve the problem of semantic similarity calculation, on the basis of CiLin, it analyzes the organizational relationship between words in CiLin, and analyzes the decisive role of parent node depth in semantic similarity from the perspective of linguistics. The distribution of nodes in each layer and atomic word groups is calculated. The calculation model of parent node depth and the combination of parent node depth and its branch information are proposed. The Pearson correlation coefficients between the semantic similarity calculated by the above two methods and Miller’s manual standard value reach 0.854 and 0.857. The root square error reach 1.003 and 0.991.

Key words: semantic similarity, CiLin, depth, fish swarm algorithm