A Simple Rule-Based Approach to Organization Name Recognition in Chinese Text

Author:

Houfeng Wang,Wuguang Shi

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Borthwick, A.: A Maximum Entropy Approach to Named Entity Recognition. Ph.D. Thesis, New York University (1999)

2. Leong, C.H., Ng, H.T.: Named Entity Recognition: A Maximum Entropy Approach Using Global Information. In: Proceedings of Coling 2002, Taipei, pp. 190–197 (2002)

3. Silviu, C., Yarowsky, D.: Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence. In: Proc. of 1999 Joint SIGDAT Conference on Empirical Methods in NLP & Very Large Corpora., pp. 90–99 (1999)

4. Zhang, Y., Huang, D., Zhang, L., Yang, Y.: Identification of Chinese Organization Names based on Statistics and Rules. In: Proceedings of JSCL 2001(Natural Language Understanding and Machine Translation), China, pp. 233–239 (2001)

5. Yu, H., Zhang, H., Liu, Q.: Recognition of Chinese Organization Name based Role Tagging. In: Proceedings of Advances in Computation of Oriental Languages, Beijing, pp. 79–87 (2003)

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