摘要
主观题阅卷系统是一个值得研究的问题。常见的主观题评分是比对学生答案和参考答案的相似程度得出分数的。自然语言处理里面的分词技术可以将文字切分为词的组合,然后通过计算句子的语义相似度可以得出学生答案和主观题答案的相似度。在这些理论的支撑下,文章提出了一种基于.NET实现的主观题系统模型设计方法。
Subjective question marking system is a problem that should be studied.The common method is compare the sentence similarity of students" answer with the sentence similarity of reference to mark score.Text can be cut into a combination of the words by natural language processing technology,then students' answer and reference' similarity can be calculate by sentence similarity.In support of these theories, the article presents a subjective question marking system based on .NET.
出处
《微计算机信息》
2009年第18期255-256,共2页
Control & Automation
关键词
主观题
语义相似度
.NET
subjective question
sentence similarity
.NET