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基于概念层次网络理论的问句分析研究
引用本文:韩杰,杨洋,滕至阳.基于概念层次网络理论的问句分析研究[J].计算机工程与设计,2007,28(10):2348-2351.
作者姓名:韩杰  杨洋  滕至阳
作者单位:东南大学,计算机科学与工程学院,江苏,南京,210096
摘    要:为了提高问答系统对问句理解的准确率,以概念层次网络理论结合传统计算语言学为思路,提出了适用于限定领域中问句分析模型,并根据限定领域的知识特点,设计了新的问句分类方法.在此问句分类方法的基础上,改进了基于多元贝努里模型的贝叶斯分类算法.在以实际教学过程中所收集的真实问句为问题集和训练集的测试中,取得了较好的实践效果.

关 键 词:概念层次网络理论  问句分类  贝叶斯算法  中文信息处理  问答系统  概念层次网络理论  问句分析  研究  theory  network  hierarchical  based  analysis  question  实践效果  测试  训练集  问题  教学过程  分类算法  贝叶斯  分析模型  改进  分类方法  设计
文章编号:1000-7024(2007)10-2348-04
修稿时间:2006-03-30

Research of question analysis based on hierarchical network of concepts theory
HAN Jie,YANG Yang,TENG Zhi-yang.Research of question analysis based on hierarchical network of concepts theory[J].Computer Engineering and Design,2007,28(10):2348-2351.
Authors:HAN Jie  YANG Yang  TENG Zhi-yang
Affiliation:School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
Abstract:A novel closed-domain oriented question analysis module based on hierarchical network of concepts and traditional computational linguistics is proposed to enhance the rate of accuracy of question interpretation of a question answering system, A new question catalog is developed on the basis of characteristics of closed-domain. Naive Bayes based on multivariate Bernoulli model is improved on the grounds ofthis new catalog. The result of experiments tested on questions gathered during process of instruction shows better promise to this method.
Keywords:hierarchical network of concepts theory  question catalog  Naive Bayesian  Chinese information processing  questionanswering system
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