Traditional Chinese text chunking approach is to identify many phrases using only one model, and the same features are used to identify these phrases too. So the helpful features of each phrase are ignored. In fact, different phrases have different helpful features. In this paper, the concept of “sensitive feature” is proposed, and the sensitive features of seven Chinese types of phrases are selected by dynamic comparison strategy. Through testing on the Multi-agent Chinese chunking model, the selected sensitive features are effective.