| 问答式信息检索查询优化技术研究 |
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| 引用本文： | 杜永萍,姚长青.问答式信息检索查询优化技术研究[J].情报学报,2009,28(5). |
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| 作者姓名： | 杜永萍 姚长青 |
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| 作者单位： | 1. 北京工业大学计算机学院,北京,100022
2. 中国科学技术信息研究所,北京,100038 |
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| 摘 要： | 问答式信息检索是新一代搜索引擎,它接收自然语言描述的问题,在文档集合中搜索并返回问题的精确答案.问答式信息检索中,检索模块性能的提高将直接影响问题回答系统的整体性能.本文研究系统中的查询优化技术,包括两种策略:基于模式知识库的查询优化;挖掘Web语义蕴含信息,构建查询扩展资源.本文利用TREC提供的问题集与答案集(TREC8-TREC13)做实验来测试查询优化方法的性能,实验结果表明,相对于传统的查询生成,本文采用的查询优化技术在检索精度上取得了提高,t-test结果证明,系统性能提高统计显著.
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| 关 键 词： | 信息检索 查询优化 语义蕴含 |
Research on Query Optimization Technique in Question-Answering Information Retrieval |
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| Du Yongping,Yao Changqing.Research on Query Optimization Technique in Question-Answering Information Retrieval[J].Journal of the China Society for Scientific andTechnical Information,2009,28(5). |
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| Authors: | Du Yongping Yao Changqing |
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| Institution: | 1.Institute of Computer Science;Beijing University of Technology;Beijing 100022;2.Institute of Scientific and Technical Information of China;Beijing;100038 |
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| Abstract: | Question answering information retrieval represents the new generation of search engines,which receives natural language questions and returns exact answers in the document collection.The performance enhancement of retrieval module in the system will directly affect the overall system performance.Two kinds of query optimization techniques are introduced in the paper. The first is based on the pattern knowledge base for query expansion,and the second is implemented by mining the semantic information on the W... |
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| Keywords: | information retrieval query optimization semantic entailment |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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