【摘要】 为提高问答系统对问句理解的准确率,以概念层次网络理论结合传统计算语言学为思路,提出了适用于限定领域中问句分析模型,根据限定领域的知识特点,设计了新的问句分类方法。在此问句分类方法的基础上,构建了基于支持向量机理论的问句分类器。在以实际教学过程中所收集的真实问句为问题集和训练集的测试中,取得了较好的实践效果。更多还原

【Abstract】 A novel closed-domain oriented question analysis module based on hierarchical network of concepts and traditional computational linguistics is proposed to enhance the rate of accuracy of question interpretation of a question answering system.A new question catalog is developed on the basis of characteristics of closed-domain.A novel question classifier based on support vector machine is constructed on the grounds of this new catalog.The result of experiments tested on questions gathered during process of instruction shows better promise to this method.更多还原