计算机工程2012，Vol.38Issue(11)：274-276,280,4.DOI:10.3969/j.issn.1000-3428.2012.11.083
两级相似度计算在主观题机器阅卷中的应用
Application of Two Level Similarity Computation in Subjective Machine Marking
摘要
Abstract
According to answers' keywords, sentence grammar semantic informations and adjusting rules, this paper proposes a two level similarity computation algorithm which integrates the advantage of word level and sentence level similarity computation. It focuses on questions of text descriptive subjective examinations complexities and machine marking difficulties. Experimental results show that the system can obtain Ifae minimum invalid marking ratio and fast speed, while word level coefficient α value is about 0.7. This algorithm complies with the effect of manual marking better.关键词
相似度计算/向量空间模型/机器阅卷/自然语言处理/依存文法/规则Key words
similarity computation/ vector space model/ machine marking/ natural language processing/ dependency grammar/ rule分类
信息技术与安全科学引用本文复制引用
秦学勇,张润梅..两级相似度计算在主观题机器阅卷中的应用[J].计算机工程,2012,38(11):274-276,280,4.基金项目
安徽省高校优秀青年人才基金资助项目(2009SQRZ101) （2009SQRZ101）
