Comparative Study on HMM and CRFs Applying in Information Extraction
HMM和CRFs在信息抽取应用中的比较研究

This paper brings forward two models for person-name entity extraction based on the comparison of math theory between HMM and CRFs,one using word role label based HMM and the other using character role label based CRFs,then validates and compares the effect of both by open-testing and applying in practice,and thereby proves in practice that CRFs is fitter for sequence labeling and object classifying than HMM.