COMBINATION OF ROUGH SET THEORY AND MAXIMUM ENTROPY MODEL FOR CONJUNCTIVE STRUCTURE DETECTION IN QA SYSTEM

摘要：

We introduce a combination model as conjunctive structures detection for question pre-processing in Q&A system.Conjunctive structures detection can be treated as a pattern recognition problem.The rough set theory is used for selecting effective features and the ME (maximum entropy) model is used for building a pattern classifier to get high accuracy.The training and testing data are collected from some discussion groups in the internet A simple ME model is used for baseline system.The best Precision is 0.932 with 0.042 higher than the baseline system.

关键词： Conjunctive structure Rough set theory Maximum entropy QA

作者: SHI-XI FAN XUAN WANG XIAO-LONG WANG

作者单位: School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, School of Computer Science and Technology, Harbin Institute of Technology, 150001, Harbin, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3051-3056

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）