摘要
通过对传统的汉语句子相似度模型进行改进,提出一种基于关键词加权的汉语句子相似度计算方法,在此基础上实现一个基于常问问题库的中文问答系统。该系统通过将用户输入的自然语言问句与常问问题库中的候选问题集进行相似度计算,自动返回最匹配的答案给用户,自动更新和维护常问问题库。实验结果表明该方法在问句匹配上比传统方法具有更高的准确率。
By improving the traditional Chinese sentence similarity model, this paper proposes a method based on key words weighted to compute sentence similarity, and a question answer system based on Frequently Asked Question（FAQ） is implemented. This system automatically computes sentence similarity between users＇ questions in natural language and questions in FAQ, and returns the answer to the user. It can also automatically update and maintain FAQ. Test result shows that compared with traditional sentence similarity model, this method has more precision in matching question.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第17期46-48,共3页
Computer Engineering
基金
国家"973"计划基金资助项目(2007CB613507)
关键词
句子相似度
关键词
常问问题
sentence similarity
key words
Frequently Asked Question（FAQ）
