Abstract: A new method to solve Chinese text chunking was introduced as conditional random fields (CRF) model, by which Chinese text chunking transformed into labeling the words with their chunk tags and establishinga model for tagged corpus according to conditional random fields so as to predict the chunk ta g of each word. An F₁ score of 85.5% is achieved by using the evaluation dataset of Chinese treebank of Beijing university, and obviously better than those of hidden Markov model and maximum entropy Markov model. Experimental results show that conditional random fields model is an effective way on Chinese text chunking and the strict Independence hypothesis and the label bias problem are avoided.

Key words: chunking, conditional random fields, feature function