@article{MAKHILLAJIT2006585188,
    title = {A Divide-Conquer Strategy for Chinese Text Chunking},
    journal = {Asian Journal of Information Technology},
    volume = {5},
    number = {8},
    pages = {901-905},
    year = {2006},
    issn = {1682-3915},
    doi = {ajit.2006.901.905},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2006.901.905},
    author = {Ying-Hong Liang,Ni-Hong Wang,Zhao-Wen Qiu and},
    keywords = {Text chunking,sensitive features,divide-conquer strategy},
    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.}
    }