TY - GEN
T1 - Decision tree decomposition-based complex feature selection for text chunking
AU - Hwang, Young Sook
AU - Rim, Hae Chang
N1 - Publisher Copyright:
© 2002 Nanyang Technological University.
PY - 2002
Y1 - 2002
N2 - Incorporating a method of feature selection into a classification model often provides a number of advantages. In this paper we propose a new feature selection method based on the discriminative perspective of improving the classification accuracy. The feature selection method is developed for a classification model for text chunking. For effective feature selection, we utilize a decision tree as an intermediate feature space inducer. To select a more compact feature set with less computational load, we organized a partially ordered feature space according to the IGR distribution of features. Experimental results show that: (1) the computational complexity on high-dimensional feature space can be reduced by selecting features based on the decision tree decomposition; (2) the text chunking system using the proposed feature selection can significantly improve the performance compared with a decision tree classifier.
AB - Incorporating a method of feature selection into a classification model often provides a number of advantages. In this paper we propose a new feature selection method based on the discriminative perspective of improving the classification accuracy. The feature selection method is developed for a classification model for text chunking. For effective feature selection, we utilize a decision tree as an intermediate feature space inducer. To select a more compact feature set with less computational load, we organized a partially ordered feature space according to the IGR distribution of features. Experimental results show that: (1) the computational complexity on high-dimensional feature space can be reduced by selecting features based on the decision tree decomposition; (2) the text chunking system using the proposed feature selection can significantly improve the performance compared with a decision tree classifier.
UR - http://www.scopus.com/inward/record.url?scp=84971673630&partnerID=8YFLogxK
U2 - 10.1109/ICONIP.2002.1201887
DO - 10.1109/ICONIP.2002.1201887
M3 - Conference contribution
AN - SCOPUS:84971673630
T3 - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
SP - 2217
EP - 2222
BT - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
A2 - Yao, Xin
A2 - Fukushima, Kunihiko
A2 - Lee, Soo-Young
A2 - Wang, Lipo
A2 - Rajapakse, Jagath C.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Neural Information Processing, ICONIP 2002
Y2 - 18 November 2002 through 22 November 2002
ER -