Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
Traditional Chinese text chunking approach is to identify phrases using only one model and same features. It has been shown that the limitations of using only one model are that: the use of the same types of features is not suitable for all phrases and data sparseness may also result. In this study, the divide-conquer approach is proposed and applied in the identification of Chinese phrases. This strategy divides the task of chunking into several sub-tasks according to sensitive features of each phrase and identifies different phrases in arallel. Then, a two-stage decreasing conflict strategy is used to synthesize each sub-task’s answer. Through esting on Chinese Penn Treebank, F score of Chinese chunking using Multi-agent strategy achieves to 95.23%, which is higher than the best result that has been reported.
How to cite this article:
Ying-Hong Liang , Ni-Hong Wang , Zhao-Wen Qiu and Hong-E Ren . A Divide-Conquer Strategy for Chinese Text Chunking.
DOI: https://doi.org/10.36478/ajit.2006.901.905
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2006.901.905