Abstract: This paper introduces a design for subsystem of automatic question answering in the distance teaching system. It makes question classification model from the existing knowledge base by using machine learning. On the other hand it refines the features from the question of student and then it returns the best answer of the question from the knowledge base with relational algorithms.

摘要： 介绍了远程教学系统中的一种自动问题回答子系统设计。它是利用机器学习的方法，从已存在的知识库中构造出问题分类模型。另一方面，对学生的问题进行特征提炼，最后，利用相关的算法从知识库中返回学生问题的最佳答案。

关键词: 机器学习, 分类器, 条件概率, 知识库, 信息熵

CLC Number: 

• TP399