A passage retrieval strategy for web-based question answering （QA） systems is proposed in our QA system. It firstly analyzes the question based on semantic patterns to obtain its syntactic and semantic information a...A passage retrieval strategy for web-based question answering （QA） systems is proposed in our QA system. It firstly analyzes the question based on semantic patterns to obtain its syntactic and semantic information and then form initial queries. The queries are used to retrieve documents from the World Wide Web （WWW） using the Google search engine. The queries are then rewritten to form queries for passage retrieval in order to improve the precision. The relations between keywords in the question are employed in our query rewrite method. The experimental result on the question set of the TREC-2003 passage task shows that our system performs well for factoid questions.展开更多
围绕中文问答系统中的问题理解技术,本文研究了如何进行词法分析、问题分类、关键词提取及扩展、句型分析和浅层语义分析,主要提出了基于启发的疑问词和疑问焦点相结合的问题分类方法、问句统一型的句型分析方法和基于语义角色标注的语...围绕中文问答系统中的问题理解技术,本文研究了如何进行词法分析、问题分类、关键词提取及扩展、句型分析和浅层语义分析,主要提出了基于启发的疑问词和疑问焦点相结合的问题分类方法、问句统一型的句型分析方法和基于语义角色标注的语义分析方法。在此基础上,在Visual C++ 6.0环境下开发了一个基于简单的事实类问题的中文问答系统原型。实验结果表明:本文提出的方法对改善中文问答系统的性能是有效的。展开更多
基金Supported by the National Basic Research Program of China (2003CB317002)the Grant from City University of Hong Kong (7002137)
文摘A passage retrieval strategy for web-based question answering （QA） systems is proposed in our QA system. It firstly analyzes the question based on semantic patterns to obtain its syntactic and semantic information and then form initial queries. The queries are used to retrieve documents from the World Wide Web （WWW） using the Google search engine. The queries are then rewritten to form queries for passage retrieval in order to improve the precision. The relations between keywords in the question are employed in our query rewrite method. The experimental result on the question set of the TREC-2003 passage task shows that our system performs well for factoid questions.
文摘围绕中文问答系统中的问题理解技术,本文研究了如何进行词法分析、问题分类、关键词提取及扩展、句型分析和浅层语义分析,主要提出了基于启发的疑问词和疑问焦点相结合的问题分类方法、问句统一型的句型分析方法和基于语义角色标注的语义分析方法。在此基础上,在Visual C++ 6.0环境下开发了一个基于简单的事实类问题的中文问答系统原型。实验结果表明:本文提出的方法对改善中文问答系统的性能是有效的。
