CAJ | 학술논문

提出一种利用百度百科半结构化数据自动获取词语相似度的方法，该方法将百科词条与其相关词条看做有向图的两个节点，且两节点相互之间存在着链接关系，然后利用 SimRank 算法计算百科词条语义相似度。实验表明，该方法优于传统的词语语义相似度测量，能准确地反映词语之间的语义关系。
제출일충이용백도백과반결구화수거자동획취사어상사도적방법，해방법장백과사조여기상관사조간주유향도적량개절점，차량절점상호지간존재착련접관계，연후이용 SimRank 산법계산백과사조어의상사도。실험표명，해방법우우전통적사어어의상사도측량，능준학지반영사어지간적어의관계。
The measurement of the semantic similarity using semi-structured data on Baidu encyclopedia was proposed. The encyclopedia entries and related entries were considered as two nodes of a directed graph, of which there was a link between two nodes.Then SimRank algorithm was used to calculate the semantic similarity of encyclopedia entries.Ex-perimental results showed that the proposed measure significantly outperformed the traditional similarity measures, and might accurately reflect the semantic relationship between words.