| 基于多级检索的自动问答系统研究 |
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| 引用本文： | 蔡刚山[],叶俊[],周曼丽[].基于多级检索的自动问答系统研究[J].科学技术与工程,2007,7(4):501-506. |
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| 作者姓名： | 蔡刚山[] 叶俊[] 周曼丽[] |
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| 作者单位： | 华中科技大学电子与信息工程系电子科学与工程学院,武汉,430074 |
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| 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。
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| 关 键 词： | 问答系统 本地知识库 搜索引擎 句法分析 |
| 文章编号： | 23646932 |
| 修稿时间： | 09 2 2006 12:00AM |
Question-answering System Research Based on Multistage Retrieval |
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| CAI Gang-shan,YE Jun,ZHOU Man-li.Question-answering System Research Based on Multistage Retrieval[J].Science Technology and Engineering,2007,7(4):501-506. |
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| Authors: | CAI Gang-shan YE Jun ZHOU Man-li |
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| Institution: | Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074,P.R.China; Institute of Opteelectronics Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, P.R.China |
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| Abstract: | Question answering system can give users precise answer to the question presented in natural language by using natural language processing technique.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. |
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| Keywords: | question answering system local repository search engines syntactic parsing |
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