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Title: Automatic Chinese aspectual classification using linguistic indicators
Authors: Cao, D
Li, W 
Yuan, C
Wong, KF
Keywords: Aspectual classification
Linguistic indicators
Issue Date: 2006
Publisher: Emerging Research Lab (ER Lab), Nanyang Technological University
Source: International journal of information technology, 2006, v. 12, no. 4, p. 99-109 How to cite?
Journal: International journal of information technology 
Abstract: The lack of regular morphological tense markers makes Chinese aspectual classification complicated. An approach of Chinese aspectual classification based on linguistic indicators is proposed in this paper. Forty-nine indicators are used in the classification, and they are divided into three levels. Based on our approach, two three-layers classifiers are also constructed. In close test and open test, these two three-layers classifiers both achieve higher accuracy than single classifier. The indicators are then evaluated and selected by RELIEF-F evaluation algorithm for the further experiments. The experiments using pruned features selected by RELIEF-F can also achieve good results.
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