自动化学报2018，Vol.44Issue(1)：87-98,12.DOI:10.16383/j.aas.2018.c170002
一种基于语义关系图的词语语义相关度计算模型
A Model for Calculating Semantic Relatedness of Words Considering Semantic Relationship Graph
摘要
Abstract
Word semantic computation is one of the important issues in nature language processing. Current studies usually focus on semantic similarity computation of words, not paying enough attention to the semantic relatedness computation. For this reason, we present a word semantic relatedness calculation model based on semantic dictionary and corpus. First of all, the semantic extraction rules are formulated with"HowNet"and corpus, and a large number of semantic dependency relations are extracted based on these rules. Then, a semantic relationship graph is constructed by storing the semantic relationship triplet tuple. At last, graph theory is used to process the semantic relation in the semantic relationship graph and a semantic relatedness calculation model is designed by means of the semantic relationship graph. Experimental results show that this method has a better performance in word semantic relatedness computation, the Spearman rank correlation on the WordSimilarity-353 dataset being up to 0.5358,a significant efficiency improvement of semantic relatedness computation of Chinese words.关键词
语义相关度/语义关系图/HowNet/依存语义关系/语义相似度Key words
Semantic relatedness/semantic relationship graph/HowNet/dependency semantic relation/semantic simi-larity引用本文复制引用
张仰森,郑佳,李佳媛..一种基于语义关系图的词语语义相关度计算模型[J].自动化学报,2018,44(1):87-98,12.基金项目
国家自然科学基金(61370139,61602044)资助Supported by National Natural Science Foundation of China(61370139,61602044) （61370139,61602044）
