A noun-phrase chunking model based on SBCB ensemble learning algorithm

Author

Zhu, Ling ; Chao, Lidia S. ; Wong, Derek F. ; Zeng, Xiao-dong

Author_Institution

Dept. of Comput. & Inf. Sci., Univ. of Macau, Macau, China

Volume

1

fYear

2012

fDate

15-17 July 2012

Firstpage

11

Lastpage

16

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.

Keywords

computational linguistics; learning (artificial intelligence); natural language processing; optimisation; pattern classification; F-score; NP chunking model; SBCB; ensemble learning algorithm; noun phrasing; optimization; selecting base classifiers on bagging; syntactic feature; Abstracts; Bagging; Computational modeling; Computer science; Computers; Context modeling; Testing; Feature selection; NP chunking; Shallow parsing; ensemble learning algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on

Conference_Location

Xian

ISSN

2160-133X

Print_ISBN

978-1-4673-1484-8

Type

conf

DOI

10.1109/ICMLC.2012.6358878

Filename

6358878