Description of the NCU Chinese word segmentation and named entity recognition system for SIGHAN Bakeoff 2006

COLING/ACL 2006 - 5th SIGHAN Workshop on Chinese Language Processing, Proceedings of the Workshop

Volumn , Issue , 2006, Pages 209-212

  Wu, Yu Chieh ^a   Yang, Jie Chi ^a   Lin, Qian Xiang ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS;

ASIAN LANGUAGES; CHINESE WORD SEGMENTATION; CLASSIFICATION RESULTS; FEATURES SETS; LANGUAGE PROCESSING; NAMED ENTITY RECOGNITION; PROBABILITY MODELLING; RECOGNITION SYSTEMS; SEQUENCE CLASSIFICATION; SIMPLE++;

RANDOM PROCESSES;

EID: 85120003312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Lafferty, J., McCallum, A., and Pereira, F. 2001. Conditional Random Field: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the International Conference on Machine Learning.
2. Gao, J., Wu, A., Li, M., Huang, C. N., Li, H., Xia, X., and Qin, H. 2004. Adaptive Chinese word segmentation. In Proceedings the 41st Annual Meeting of the Association for Computational Linguistics, pp. 21-26.
3. Lance A. Ramshaw and Mitchell P. Marcus. 1995. Text chunking using transformation-based learning. In Proceedings of the 3rd Workshop on Very Large Corpora, pages 82-94.
4. Nocedal, J., and Wright, S. 1999. Numerical optimization. Springer.
5. Peng, F., Feng, F., and McCallum, A. 2004. Chinese segmentation and new word detection using conditional random fields. In Porceedings of the Computational Linguistics, pp. 562-568.
6. Shi, W. 2005. Chinese Word Segmentation Based On Direct Maximum Entropy Model. In Proceedings of the Fourth SIGHAN Workshop on Chinese Language Processing.
7. Wu, Y. C., Chang, C. H. and Lee, Y. S. 2006a. A general and multi-lingual phrase chunking model based on masking method. Lecture Notes in Computer Science (LNCS): Computational Linguistics and Intelligent Text Processing, 3878: 144-155.
8. Wu, Y. C., Fan, T. K., Lee Y. S. and Yen, S. J. 2006b. Extracting named entities using support vector machines," Lecture Notes in Bioinformatics (LNBI): Knowledge Discovery in Life Science Literature, (3886): 91-103.
9. Wu, Y. C., Lee, Y. S., and Yang, J. C. 2006c. The Exploration of Deterministic and Efficient Dependency Parsing. In Proceedings of the 10th Conference on Natural Language Learning (CoNLL).
10. Zhou, J., Dai, X., Ni, R., Chen, J. 2005. .A Hybrid Approach to Chinese Word Segmentation around CRFs. In Proceedings of the Fourth SIGHAN Workshop on Chinese Language Processing.