摘要： 问答式信息检索是新一代搜索引擎，集成自然语言处理和信息检索科学的研究成果，提高信息检索效率。该文介绍问答式信息检索中的模式优化及其应用，并进行客观评价。模式在问答式信息检索中有两个重要应用——查询扩展和答案抽取。实验结果表明，在TREC标准测试集上，采用模式匹配策略实现答案抽取，能有效地提高问答式信息检索系统的准确率。

关键词: 信息检索, 模式优化, 性能评价

Abstract: Open domain Question Answering(QA) represents a challenge of natural language processing, aiming at returning exact answers in response to natural language questions. Pattern matching is an effective strategy for QA. This paper demonstrates the technique of pattern generalization and its applications in QA. There are two important applications of pattern in QA. Pattern-based query expansion retrieves more exact snippets including the correct answer and the performance is improved. Another application is the answer extraction which applies the pattern matching approach. Experimental result on TREC data indicates that the pattern matching method is effective.

Key words: information retrieval, pattern generalization, performance evaluation

中图分类号: 

• TP18