Chinese Word Segmentation and Named Entity Recognition Based on Conditional Random Fields Models
Yuanyong Feng, Le Sun, LV Yuan-hua · 2006
This paper mainly describes a Chinese named entity recognition (NER) system NER@ISCAS, which integrates text, part-of-speech and a small-vocabularycharacter-lists feature for MSRA NER open track under the framework of Conditional Random Fields (CRFs) model. The techniques used for the close NER and word segmentation tracks are also presented.