How to make the most of NE dictionaries in statistical NER

Author:

Sasaki Yutaka,Tsuruoka Yoshimasa,McNaught John,Ananiadou Sophia

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference32 articles.

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2. Lafferty J, McCallum A, Pereira F: Conditional random fields: probabilistic models for segmenting and labelling sequence data. Proceedings of the Eighteenth International Conference on Machine Learning (ICML-2001) 2001, 282–289.

3. Baum LE, Petrie T: Statistical inference for probabilistic functions of finite state Markov chains. The Annals of Mathematical Statistics 1966, 37: 1554–1563.

4. McCallum A, Freitag D, Pereira F: Maximum entropy Markov models for information extraction and segmentation. Proceedings of the Seventeenth International Conference on Machine Learning 2000, 591–598.

5. Kim J-D, Ohta T, Tsuruoka Y, Tateisi Y: Introduction to the Bio-Entity Recognition Task at JNLPBA. Proceeding of the Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA-2004) 2004, 70–75.

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