A Divide-and-Conquer Strategy for Chunking
Cai Dong-feng · Zhongwen xinxi xuebao · 2012
Chunking includes identification and labeling of chunks,which is a way to reduce the difficulty of complete syntactic parsing through segmenting a sentence into small chunking parts.In order to reduce the complexity of long sentence chunking,a divide-and-conquer strategy is described in this paper.The basic idea of this method is to first recognize the maximal noun phrases(MNP) form a full sentence;then identify the chunks within the MNPs and among the frame of the sentence without MNPs;.Experiments are carried out on the data set of UPenn Chinese Treebank-4(CTB4) and the results show the the best of overall F1 score of Chinese chunking is 91.79%,which is higher than the performance produced by the state-of-the-art machine learning models.