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基于改进贝叶斯模型的问题分类
引用本文:张宇,刘挺,文勖.基于改进贝叶斯模型的问题分类[J].中文信息学报,2005,19(2):101-106.
作者姓名:张宇  刘挺  文勖
作者单位:哈尔滨工业大学计算机学院信息检索研究室,黑龙江哈尔滨 150001
基金项目:国家自然科学基金,哈尔滨工业大学校科研和教改项目
摘    要:随着计算机及互联网络技术的发展,开放域问答系统越来越受到人们的关注,因为它能够给用户提供相对简洁、准确的结果。开放域问答系统通常包括问题分类、问题扩展、搜索引擎、答案抽取和答案选择五个主要部分。问题分类在问答系统中起着很重要的作用,它的准确性直接影响到最终抽取的答案的准确性。 本文在对已有的贝叶斯分类方法进行分析的基础上,对该方法进行了改进。为了验证该方法的效果,构造了问题的训练集和测试集。从实验结果可以看出,该方法在实际应用中获得了较好的效果。

关 键 词:计算机应用  中文信息处理  贝叶斯模型  问题分类  问答系统  
文章编号:1003-0077(2005)02-0100-06
修稿时间:2004年6月21日

Modified Bayesian Model Based Question Classification
ZHANG Yu,LIU Ting,Wen XU.Modified Bayesian Model Based Question Classification[J].Journal of Chinese Information Processing,2005,19(2):101-106.
Authors:ZHANG Yu  LIU Ting  Wen XU
Affiliation:Information Retrieval laboratory ,School of computer science and technology ,Harbin institute of technology ,Harbin ,Heilongjiang 150001 , China
Abstract:With the rapid development of Internet,the Open domain Question Answering system becomes more and more attractive because the compact and exact result can be given by it. The Open domain Question Answering system is composed of five parts,that is,question classification,question expansion,search engine,answer extraction and answer selection.The question classification plays an important role in the question answering system,and affects the correctness of the question answering system directly.In this paper,a modified Bayesian model was introduced based on analysis of the Bayesian model.The training set and testing set were constructed to verify the effect of this model.Experiments showed that this method could achieve better results in practice.
Keywords:computer application  Chinese information processing  bayesian model  question classification  question-answering system  
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