TY  - JOUR
T1  - A Divide-Conquer Strategy for Chinese Text Chunking
AU - , Ying-Hong Liang AU - , Ni-Hong Wang AU - , Zhao-Wen Qiu AU - , Hong-E Ren 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 8
SP  - 901
EP  - 905
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.901.905
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.901.905
KW  - Text chunking
KW  -sensitive features
KW  -divide-conquer strategy
AB  - 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.
ER  -