Chinese Chunking Algorithm Based on Cascaded Conditional Random Fields

This paper presents a new Chinese chunking algorithm based on cascaded conditional random fields. Conditional random fields solve the tagging problems well, while the cascaded models restrain the affection of part-of-speech errors. The experimental results show that this approach achieves impressive accuracy in terms of the F-score: 85.06%.