CRFs-Based Chinese Named Entity Recognition with Improved Tag Set
Guanming Zeng, Chuang Zhang, Bo Justin Xiao, Zhiqing Lin · 2009
Chinese named entity recognition is one of the most important tasks in NLP. The paper mainly describes our work on NER tasks. The paper built up a system under the framework of conditional random fields (CRFs) model. With an improved tag set the system gets an F-value of 93.49 using SIGHAN2007 MSRA corpus.