[1]刘亚军,徐易.一种基于加权语义相似度模型的自动问答系统[J].东南大学学报(自然科学版),2004,34(5):609-612.[doi:10.3969/j.issn.1001-0505.2004.05.011]
 Liu Yajun,Xu Yi.Automatic question answering system based on weighted semantic similarity model[J].Journal of Southeast University (Natural Science Edition),2004,34(5):609-612.[doi:10.3969/j.issn.1001-0505.2004.05.011]
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一种基于加权语义相似度模型的自动问答系统()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第5期
页码:
609-612
栏目:
计算机科学与工程
出版日期:
2004-09-20

文章信息/Info

Title:
Automatic question answering system based on weighted semantic similarity model
作者:
刘亚军 徐易
东南大学计算机科学与工程系, 南京 210096
Author(s):
Liu Yajun Xu Yi
Department of Computer Science and Engineering, Southeast University, Nanjing 210096, China
关键词:
自动问答系统 权重 语义树 语义相似度
Keywords:
automatic question answering system weight semantic tree semantic similarity
分类号:
TP391
DOI:
10.3969/j.issn.1001-0505.2004.05.011
摘要:
在对比传统词频相似度模型的基础上,提出并实现了一种基于加权语义相似度模型的自动问答系统.首先,利用语义树中词语间的距离和语义树的高度来计算词语间的语义相似度,然后利用词语间的语义相似度和词语的权重进一步计算用户问题与答案库中问题间的语义相似度.基于此模型的自动问答系统能够接受用自然语言描述的问题,通过语义相似度的计算,自动地返回相关答案.实验表明,本文提出的基于语义树的加权语义相似度模型与传统的词频相似度模型相比,准确率有明显提高.
Abstract:
Contrasting with traditional similarity model of word frequency, an automatic question answering system based on weighted semantic similarity model is proposed and implemented in this paper. First, the question answering system calculates semantic similarity by using distance between words in semantic tree and the height of semantic tree, then this system uses semantic similarity between words and the weight of word to calculate semantic similarity between users’ questions and questions in answer database. The automatic question answering system from this model can accept questions in natural language and return correlative answers automatically. Test result shows that compared with traditional similarity model of word frequency, the weighted semantic similarity model improves the precision obviously.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 国家“十五”重大攻关资助项目(2001BA101A05-04).
作者简介: 刘亚军(1953—),女,副教授,硕士生导师,yjliu@seu.edu.cn.
更新日期/Last Update: 2004-09-20