2Wang Houfeng,Shi Wuguang.A simple rule-based approach to organization name recognition in chinese text[A].Proc of 5th CICLing[C].LNCS 3406,Heidelberg,German:Springer-Verlag,2005.769-772.
3Hongkui Yu,Huaping Zhang,Quan Liu.Recognition of Chinese organization name based role tagging[A].Proc of Advances in Computation of Oriental Languages[C].Beijing:Tsinghua University Press,2003.79-87.
4McCallum A,Freitag D,Pereira F.Maximum entropy Markov models for information extraction and segmentation[A].Proc of 17th ICML[C].Stanford,California,USA:Morgan Kaufmann,2000.591-598.
5John Lafferty,Andrew McCallum,Fernando Pereira.Conditional random fields:Probabilistic models for segmenting and labeling sequence data[A].Proc of the 18th ICML[C].San Francisco:Morgan Kaufmann,USA:2001.282-289.
6Andrew McCallum,Wei Li.Early results for named entity recognition with conditional random fields,feature induction and Web-enhanced lexicons[A].Proc of the 7th CoNLL[C].Edmonton,Canada:Morgan Kaufmann,2003.188-191.
7Thorsten Brants.Cascaded Markov models[A].Proc of EACL'99[C].Bergen,Norway:European Chapter of the Association for Computational Linguistics,1999.118-125.
8M Skounakis,M Craven,S Ray.Hierarchical hidden markov models for information extraction[A].Proc of the 18th International Joint Conference on Artificial Intelligence[C].Acapulco,Mexico:Morgan Kaufmann,2003.427-433.
9Eric Brill.Transformation based error driven learning and natural language processing:A case study in part of speech tagging[J].Computational Linguistics,1995,21(4):543-566.
10Aron Culotta,Andrew McCallum.Confidence estimation for information extraction[A].Proc of HLT-NAACL'04[C].Boston,Massachusetts:Association for Computational Linguistics,2004.109-112.
