Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system

Shi Xi Fan; Xuan Wang; Xiao Long Wang

doi:10.1109/ICMLC.2007.4370672

Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system

Shi Xi Fan^*
, Xuan Wang
, Xiao Long Wang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Pages	3051-3056
Number of pages	6
DOIs	https://doi.org/10.1109/ICMLC.2007.4370672
State	Published - 2007
Externally published	Yes
Event	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, China Duration: 19 Aug 2007 → 22 Aug 2007

Publication series

Name	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Volume	6

Conference

Conference	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
Country/Territory	China
City	Hong Kong
Period	19/08/07 → 22/08/07

Keywords

Conjunctive structure
Maximum entropy
QA
Rough set theory

Access to Document

10.1109/ICMLC.2007.4370672

Cite this

Fan, S. X., Wang, X., & Wang, X. L. (2007). Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system. In Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007 (pp. 3051-3056). Article 4370672 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 6). https://doi.org/10.1109/ICMLC.2007.4370672

Fan, Shi Xi ; Wang, Xuan ; Wang, Xiao Long. / Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system. Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. pp. 3051-3056 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007).

@inproceedings{15b9177da6d04698bf58ef0bad8bc083,

title = "Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system",

abstract = "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.",

keywords = "Conjunctive structure, Maximum entropy, QA, Rough set theory",

author = "Fan, \{Shi Xi\} and Xuan Wang and Wang, \{Xiao Long\}",

year = "2007",

doi = "10.1109/ICMLC.2007.4370672",

language = "英语",

isbn = "142440973X",

series = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

pages = "3051--3056",

booktitle = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

note = "6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 ; Conference date: 19-08-2007 Through 22-08-2007",

}

Fan, SX, Wang, X & Wang, XL 2007, Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system. in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007., 4370672, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, vol. 6, pp. 3051-3056, 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, Hong Kong, China, 19/08/07. https://doi.org/10.1109/ICMLC.2007.4370672

Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system. / Fan, Shi Xi; Wang, Xuan; Wang, Xiao Long.
Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. p. 3051-3056 4370672 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

KW - Conjunctive structure

KW - Maximum entropy

KW - QA

KW - Rough set theory

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DO - 10.1109/ICMLC.2007.4370672

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BT - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

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Fan SX, Wang X, Wang XL. Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system. In Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. p. 3051-3056. 4370672. (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007). doi: 10.1109/ICMLC.2007.4370672

Combination of rough set theory and maximum entropy model for conjunctive structure detection in QA system

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