A Multi-agent Model for English Text Chunking

摘要

Traditional English text chunking approach is to identify phrases using only one model and same features. It is shown that one model could not consider each phrasepsilas characteristics, and same features are not suitable to all phrases. In this paper, a multi-agent text chunking model is proposed. This model uses individual sensitive features of each phrase to identify different phrases. Through testing on the public training and test corpus, this multi-agent model is effective because F score of English chunking using this multi-agent model achieves to 95.70%, which is higher than the best result that has been reported.