A new method to recognize the Chinese verb-object collocation is proposed on the basis of the conditional random fields(CRFs) model.The CRFs based model is examined with verb subcategorization features,context features,and features of their combination.The experiments are carried on two different Chinese word segmentation and part-of-speech tagging settings,with part-of-speech filtering rules to optimize the experiment.The results show that the best performance is 87.40% in F-score over Tsinghua Chinese Treebank,and 74.70% in F-score over the segmentation and part-of-speech tagging scheme of Peking University.Experimental results show that CRF model is effective in recognizing Chinese verb-object collocation automatically.