%0 Journal Article
%T Question Classification with Incremental Rule Learning Algorithm Based on Rough Set<br>一种基于粗糙集增量式规则学习的问题分类方法研究
%A Li Peng
%A Wang Xiao-long
%A Guan Yi
%A <br>李鹏
%A 王晓龙
%A 关毅
%J 电子与信息学报
%D 2008
%I 
%X This paper presents a method on automatic question classification through incremental rule learning based on rough set theory. The core of the method is appling the machine learning approach to gain classified rules automatically through extract the features of query sentence thoroughly, and the decision table is used to construct the training collection. Comparing with the alternative means, the superiority is that it acquires the classified rule automatically and uses the rough set method to obtain the optimized smallest rule set. Especially, the incremental learning is induced to improve the precision and avoid the tedious re-training process. The performance of the approach is promising, when tested on opposite test. Meanwhile, the method obtains a very good result in the international TREC2005 Q/A track.
%K Rough set
%K Question classification
%K Incremental learning
%K Decision table
%K Feature selection<br>粗糙集
%K 问题分类
%K 增量式学习
%K 决策表
%K 特征选择
%K 粗糙集理论
%K 增量式
%K 规则学习
%K 问题
%K 分类方法
%K 研究
%K Rough
%K Set
%K Based
%K Rule
%K Learning
%K Algorithm
%K Incremental
%K Classification
%K 表现
%K 评测
%K 国际
%K 对比实验
%K 适应性
%K 可扩展性
%K 学习速度
%K 训练过程
%K 分类精度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=CC4D5582D933E2AFFC49ECD6C84D4130&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=94C357A881DFC066&sid=FB318F788ECEF1B2&eid=005F3549A8D9454D&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=14