Query Expansion based on Pseudo Relevance Feedback from Definition Clusters
Query Expansion based on Pseudo Relevance Feedback from Definition Clusters
复制标题
基于定义集群的伪相关性反馈的查询扩展
DOI：
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发表时间：
2010
期刊：
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通讯作者：
D. Bernhard
中科院分区：
文献类型：
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作者：
D. Bernhard
查询扩展是为了解决信息检索和问题生成中的词汇空缺问题而对用户查询进行的扩展。主要困难在于识别相关的扩展术语，以防止查询漂移。我们建议使用的定义集群构建的英语词汇资源的组合查询扩展。我们应用伪相关反馈技术从定义聚类中获取扩展项。我们表明，这种扩展方法优于本地反馈，基于文档集合，并扩展与WordNet同义词，在问题检索的文档检索任务。
Query expansion consists in extending user queries with related terms in order to solve the lexical gap problem in Information Retrieval and Question Answering. The main difficulty lies in identifying relevant expansion terms in order to prevent query drift. We propose to use definition clusters built from a combination of English lexical resources for query expansion. We apply the technique of pseudo relevance feedback to obtain expansion terms from definition clusters. We show that this expansion method outperforms both local feedback, based on the document collection, and expansion with WordNet synonyms, for the task of document retrieval in Question Answering.