This paper presents a Chinese treebank based decision tree approach to identify Chinese BNP. A self-learning mechanism is integrated into our model which includes the following steps: auto-extraction of POS string sequences (BNP rules) and their context information from the corpora and ID3 algorithm based tree training. Experimental results show good performances of our method.