Encyclopedia Text Topic Segmentation Based on CRF
Rou Song · Jisuanji gongcheng · 2007
Conditional random field(CRF) is a newly proposed probabilistic model for segmenting and labeling sequence data,and has been successfully applied to many natural language processing tasks and information extraction.This paper introduces CRF model and applies it in encyclopedia text topic segmentation.With its long distance overlapping feature mechanism,the CRF model shows better performance than traditional HMM model on encyclopedia text segmentation task.