| 基于问句语料库的受限领域自动应答系统 |
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| 引用本文： | 余正涛,樊孝忠,宋丽哲.基于问句语料库的受限领域自动应答系统[J].计算机工程与应用,2003,39(36):28-30,86. |
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| 作者姓名： | 余正涛 樊孝忠 宋丽哲 |
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| 作者单位： | 1. 北京理工大学计算机科学与工程系,北京,100081;昆明理工大学信息工程与自动化学院,昆明,650051
2. 北京理工大学计算机科学与工程系,北京,100081 |
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| 基金项目： | 云南省基金项目资助(编号:2002IT03) |
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| 摘 要： | 自动应答系统中对用户所提问句的理解是系统实现的关键,同样也是一个难点,通过在受限领域内建立问句语料库来协助理解用户问句是一种非常有效的实现方法。文章分析了建行领域业务咨询系统的问句收集、分词和词性标注、语义标注、问句语料统计等问句语料库的建设过程,并详细介绍了采用词向量空间法和语义向量空间法从问句语料库中寻找和目标问句相似问句的计算方法及提取答案的实现过程。
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| 关 键 词： | 受限领域自动应答 问句语料库 语义标注 空间向量模型 语义相似度 问句相似度 |
| 文章编号： | 1002-8331-(2003)36-0028-03 |
Restricted Domain Question Answer System Based on Question Sentence Corpus |
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| Yu Zhengtao , Fan Xiaozhong Song Lizhe.Restricted Domain Question Answer System Based on Question Sentence Corpus[J].Computer Engineering and Applications,2003,39(36):28-30,86. |
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| Authors: | Yu Zhengtao Fan Xiaozhong Song Lizhe |
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| Affiliation: | Yu Zhengtao 1,2 Fan Xiaozhong 1 Song Lizhe 11 |
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| Abstract: | Understanding user's question sentences is the key problem in question answer system.That's also the diffi-cult part in the whole system.It is an effective method to understand user's intention by constructing question sentence corpus.This paper analyzes the process of constructing question sentence corpus in building consulting system for china construction bank,including question sentence collection,word segmentation and Pos tagging,Semantic tagging,and ques-tion sentence corpus statistics,and introduces an algorithm to find similar sentence with target question sentence from question sentence corpus and extract the answer by using Word Vector Space Method and Semantic Word Vector Space Method in details. |
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| Keywords: | Restricted Domain Question Answer System(QAS) Question Sentence Corpus Semantic tagging Vector Space Model Semantic similarity Question sentence similarity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
