Improved Intelligent Answering System Research And Design

摘要：

as the developing of Internet, Intelligent Question Answering System is playing an important role in the network education. In the current, Intelligent Question Answering System has some problems such as low recall and precision .In this paper, we use maximum matching algorithm with improved lexicon, we also use a kind of similarity calculation method with statements based on the weight vector feature model. So we greatly improve the efficiency and accuracy of Intelligent Answering System.

关键词： distance education intelligent question answering system improved lexicon Chinese word segmentation similarity calculation weight

作者: Chuan Liang

作者单位: Computer Science College Sichuan University Chengdu, China

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Intelligent Ubiquitous and Education(2010年第三届智能普适计算与教育国际研讨会 IUCE 2010)

会议地点: 北京

会议语种:英文

页码: 294-297

在线出版日期: 2010-09-18（万方平台首次上网日期，不代表论文的发表时间）