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Combination of Rough Set Theory and Maximum Entropy Model for Conjunctive Structure Detection in QA System

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3 Author(s)
Shi-Xi Fan ; School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China. E-MAIL: ; Xuan Wang ; Xiao-Long Wang

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.

Published in:

2007 International Conference on Machine Learning and Cybernetics  (Volume:6 )

Date of Conference:

19-22 Aug. 2007