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A noun-phrase chunking model based on SBCB ensemble learning algorithm
Zhu L.; Chao L.S.; Wong D.F.; Zeng X.-D.
2012-12-01
Conference Name2012 International Conference on Machine Learning and Cybernetics
Source PublicationProceedings - 2012 International Conference on Machine Learning and Cybernetics
Volume1
Pages11-16
Conference Date15-17 July 2012
Conference PlaceXian, China
Abstract

This paper presents a NP (noun phrase) chunking model based on our previous work SBCB (Selecting Base Classifiers on Bagging) ensemble learning algorithm. The exploitation of an optimization procedure to pick up good classifiers in SBCB, along with a process to select proper syntactic or semantic features, contributes a better performance. The experimental comparisons with the state-of-the-art algorithms show that the proposed approach is able to achieve impressive higher accuracy in terms of F-score. © 2012 IEEE.

KeywordEnsemble Learning Algorithm Feature Selection Np Chunking Shallow Parsing
DOI10.1109/ICMLC.2012.6358878
URLView the original
Language英语
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Zhu L.,Chao L.S.,Wong D.F.,et al. A noun-phrase chunking model based on SBCB ensemble learning algorithm[C],2012:11-16.
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