自动问答技术是自然语言处理领域中一个非常热门的研究方向,它综合运用了各种自然语言处理技术。本文介绍了自动问答技术的发展现状和自动问答系统中常用的技术。自动问答系统一般包括三个主要组成部分:问题分析、信息检索和答案抽取。本文分别介绍了这三个主要组成部分的主要功能和常用的方法。最后还介绍了自动问答系统的评价问题。
Abstract
Question-Answering is a hot research field in Natural Language Processing ,which includes many kinds of NLP technology. This paper introduces the current research status and the methods that are often used in Question-Answering. In general ,a Question-Answering system is made up of three parts : Question Analysis ,Information Retrieval and Answer Extraction. This paper describes the main functions of these three parts and the common approach used in these parts in detail. At last ,this paper introduces the evaluation of Question-Answering system.
关键词
自动问答 /
问题分类 /
信息检索 /
答案抽取
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Key words
Question-Answering /
question classification /
information retrieval /
answer extraction
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参考文献
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[9] Eugene Agichtein , Steve Lawrence ,Luis Gravano. Learning Search Engine Specific Query Transformations for Question Answering.ACM 2001 ,169 - 178
[10] Soo-Min Kim ,ae-Ho Baek ,Sang-Beom Kim ,Hae-Chang Rim Question Answering Considering Semantic Categories and Co-occurrence Density. Proceedings of the night Text Retrieval Conference (TREC-9)
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脚注
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基金
哈尔滨工业大学校自然科学基金项目(HIT.2000.50)
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