摘要
针对汉语问答系统的特点,提出一种通过统计问答对方式获得各种问题类别的关联词,并根据类别关联词进行查询扩展的方法.在计算问题和答案文本相似度时,实现了一种基于最小匹配距离的计算方法,该方法充分考虑了查询词及查询扩展词在文本中的词频及位置分布信息.实验结果说明在汉语问答系统答案文本检索中,按照问题类别关联词进行查询扩展比未进行查询扩展在性能上有很大的改进.
In connection with the characteristics of Chinese question answering systems, a method of query expansion is proposed. It is based on the related words for specific question types that are retrieved by pairing statistically the question-answering classes. A method of similarity between question and answering documents based on minimal matching span is implemented. The term frequency and position of information of query and query expansion in the document are fully considered in the computation. The experimental results show that in answering document retrieval of Chinese question answering system, the performance of expanding the query based on related words for specific question types is much better than in unexpanded query.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2005年第10期880-884,共5页
Transactions of Beijing Institute of Technology
基金
云南省信息技术基金资助项目(2002IT03)
关键词
汉语问答系统
查询扩展
问题类别
类别关联词
答案文本检索
最小匹配距离
Chinese question answering system
query expansion
question type
related words for specific question types
answering document retrieval
minimal matching span
