基于特定问题类别的汉语问答系统查询扩展

Query Expansion for Specific Question Types in Chinese Question Answering System

  • 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.

     

    Abstract: 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.

     

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