Application Study of Hidden Markov Model and Maximum Entropy in Text Information Extraction

Author:

Li Rong,Liu Li-ying,Fu He-fang,Zheng Jia-heng

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Lawrence, S., Giles, L., Bollacker, K.: Digital libraries andautonomous citation indexing. Computer 32(6), 67–71 (1999)

2. Riloff, E., Jones, R.: Learning dictionaries for information extraction by multi-level bootstrapping. In: Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 811–816. AAAI Press, Orlando (1999)

3. Kushmerick, N.: Wrapper induction: Efficiency and expressiveness. Artificial Intelligence 118(12), 15–68 (2000)

4. Seymore, K., McCallum, A., Rosenfel, R.: Learning hidden Markov model structure for information extraction. In: Proceedings of the AAAI 1999 Workshop on Machine Learning for Information Extraction, pp. 37–42. AAAI Press, Orlando (1999)

5. Frietag, D., McCallum, A.: Information extraction with HMMs and shrinkage. In: Proceedings of the AAAI 1999 Workshop on Machine Learning for Information Extraction, pp. 31–36. AAAI Press, Orlando (1999)

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