摘要
问答系统通过采用自然语言处理技术,用简洁准确的语言回答用户用自然语言提出的问题。文中设计并实现了一种基于本地知识库和网络检索的中文问答系统,利用知识共享平台构建大规模的真实用户问题知识库,通过对知识库和网络资源的多级检索,使用句法分析和实体识别对答案进行抽取,有效提高了问答系统的响应速度和准确率。
Question answering system can give users language by using natural language processing technique. precise answer to the question presented in natural A Chinese QA system based on local repository and web resource is presented. The local repository is established from knowledge sharing platform, it reflects users＂ real problems. With multistage retrieval of answers and the use of syntactic parsing, entity recognition in answer extraction, the response speed and accuracy of the system are effectively improved.
出处
《科学技术与工程》
2007年第4期501-506,共6页
Science Technology and Engineering
关键词
问答系统
本地知识库
搜索引擎
句法分析
question answering system local repository search engines syntactic parsing
