Online ISSN:1349-8606
Progress in Informatics  
No.4 March 2007  
Page 5-13  
 
Named Entity Recognition in Vietnamese documents
Tri Tran Q., Thao Pham T. X., Hung Ngo Q., Dien DINH and Nigel COLLIER

LINK [1] Dinh Dien and Vu Thuy, “A maximum entropy approach for Vietnamese word segmentation,” Proc. of the 4th IEEE International Conference on Computer Science-Research, Innovation and Vision of the Future 2006, HCM City, Vietnam, pp.247-252, 2006.

LINK [2] Hideki Isozaki, “Japanese named entity recognition based on a simple rule generator and decision tree learning,” Proc. of the Association for Computational Linguistics, pp.306-313, 2001.

LINK [3] James Mayfield, Paul Mc Namee and Christine Piatko, “Named Entity Recognition using Hundreds of Thousands of Features,” Proc. of CoNLL-2003, Edmonton, Canada, pp.184-187, 2003.

LINK [4] Jian Sun, Jianfeng Gao, Lei Zhang, Ming Zhou, and Changning Huang, “Chinese Named Entity Identification Using Class-based Language Model,” COLING 2002, Taipei, Taiwan, 2002.

LINK [5] John Lafferty, Andrew McCallum, and Fernando Pereira, “Conditional Random Field: Probabilistic Models for Segmenting and Labeling Sequence Data,” Proc. Of the ICML’01.

LINK [6] Koichi Takeuchi and Nigel Collier, “Use of Support Vector Machines in Extended Named Entity Recognition,” Proc. of the 6th Conference on Natural Language Learning, pp.119-125, 2002.

LINK [7] N.C. Tu, T.T. Oanh, P.X. Hieu and H.Q. Thuy, “Named Entity Recognition in Vietnamese Free-Text and Web Documents Using Conditional Random Fields,” the 8th Conference on Some selection problems of Information Technology and Telecommunication, Hai Phong, Vietnam, 2005.

LINK [8] N. Chinchor, “MUC-7 named entity task definition,” Proc. of the 7th Message Understanding Conference.

LINK [9] Radu Florian, Abe Ittycheriah, Hongyan Jing and Tong Zhang, “Named Entity Recognition through Classifier Combination,” Proc. of Conference on Natural Language Learning-2003, Edmonton, Canada, pp.168-171, 2003.

LINK [10] Taku Kudo and Yuji Matsumoto, “Chunking with Support Vector Machines,” NAACL 2001, 2001.

LINK [11] T. Joachims, “Making large-scale SVM learning practical.” In B. Scholkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods-Support Vector Learning. MIT Press, 1999.

LINK [12] Tzong-Han Tsai, S.H. Wu, C.W. Lee, Cheng-Wei Shih and Wen-Lian Hsu, “A Chinese Named Entity Recognizer Using the Maximum Entropy-based Hybrid Model,” International Journal of Computational Linguistics and Chinese Language Processing, vol.9, no.1, 2004.

LINK [13] Vladimir N. Vapnik, “The Nature of Statistical Learning Theory.” Springer, 1995.