计算机与现代化Issue(10)：6-9,4.DOI:10.3969/j.issn.1006-2475.2015.10.002
基于向量空间模型的知识点与试题自动关联方法
Aut omatic Discovery of Relationship Between Exami nation Question and Knowledge Points Based on Vector Space Model
摘要
Abstract
With the extensive application of examination system based on knowledge points, how to automatically match examina-tion question with knowledge points has become an important direction of current research.In this paper, word2vec is used to get the K-dimensional space vector for each word in the texts of examination question and the knowledge points at first.And then, we calculate the cosine distance between the vectors to represent the semantic similarity of the examination question and the knowl-edge points.The experimental results show that this method can quickly find the relationship between examination question and knowledge points and improve the work efficiency of the examination system.关键词
word2vec/知识点/余弦距离/语义相似度/向量空间模型Key words
word2vec/knowledge point/cosine distance/semantic similarity/vector space model分类
信息技术与安全科学引用本文复制引用
董奥根,刘茂福,黄革新,舒琦赟..基于向量空间模型的知识点与试题自动关联方法[J].计算机与现代化,2015,(10):6-9,4.基金项目
国家自然科学基金资助项目（61100133）；国家社会科学基金重大项目（11＆Z189）；武汉科技大学大学生科技创新基金资助项目 （）
