Chinese chunking algorithm based on conditional random fields

A new Chinese chunking algorithm is proposed based on conditional random fields and semantic features. Through the analysis of Chinese chunking task and its sequential characteristics, conditional random fields that combine various kinds of features were applied. Semantic features were utilized to further improve the chunking performance. Experimental results on the Chinese chunking corpus of Microsoft Research Asia show that the algorithm achieves impressive accuracy of 92.52% in terms of the F-score.