CAJ | 학술논문

在汉语问答系统中,当用自然语言问句进行文档检索时,由于问句比查询词包含更多的语义信息,因此必须进行查询词扩展以提高信息检索的性能.通过分析已有的查询扩展方法,提出了基于集合论的查询扩展新方法.它结合了3种传统的查询扩展方法:语义词典法、自动相关反馈法和问题类型词.实验结果表明该方法在Web检索方面是有效并且优于传统的方法.
재한어문답계통중,당용자연어언문구진행문당검색시,유우문구비사순사포함경다적어의신식,인차필수진행사순사확전이제고신식검색적성능.통과분석이유적사순확전방법,제출료기우집합론적사순확전신방법.타결합료3충전통적사순확전방법:어의사전법、자동상관반궤법화문제류형사.실험결과표명해방법재Web검색방면시유효병차우우전통적방법.
In Chinese question answering system, while using natural language questions to retrieve documents, because of more abundant semantic relation of question than that of query words, the precision can be improved by expanding query. On the basis of previous approaches to query expansion, this paper proposes a new approach to query expansion based on set theory,which combines three traditional methods---thesauri, automatic relevance feedback and the related words of the question type. Experiments show the new approach is effective to query expansion for web retrieval and out- performs the optimized, conventional expansion approaches.