摘要
针对自然语言中数学领域的特点,提出了一种智能辅导系统中建立模型的方法。该方法通过对语义理解结果的名词聚类分析,调用静态知识库中相应的内涵模型,根据静态知识库中对内涵模型的描述在语义理解结果中搜集相应的信息使抽象概念具体化。在此基础上依据领域知识对题目进行信息挖掘,并根据题目类型对信息进行约简,从而建立模型。这种建模方法在智能辅导系统中得到了较好的应用。
According to the characteristic of natural language understanding in mathematics domain, an approach of building model for an intelligence tutoring system is introduced in this paper. By using the concept model theory and analyzing the result of semantic analysis, the right connotation model can be transferred, corresponding to the connotation model, collecting the information from the result of semantic analysis to embody abstract concept, based on which dig over the information then reducing it according to the type of the subject, thereby to build the model. This kind of method has been applied to intelligent tutoring systems well.
出处
《计算机技术与发展》
2008年第9期46-49,共4页
Computer Technology and Development
基金
科技部科技型中小企业创新基金(01c26226111002)
关键词
自然语言理解
静态知识库
概念模型
内涵模型
：natural language understanding
static knowledge base
conceptual model
connotation model
