Fine Tuning Features and Post-processing Rules to Improve Named Entity Recognition

Author:

Ferrández Óscar,Toral Antonio,Muñoz Rafael

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Arevalo, M., Civit, M., Martí, M.A.: Mice: A module for named entity recognition and clasification. International Journal of Corpus Linguistics 9(1), 53–68 (2004)

2. Bogers, T.: Dutch named entity recognition: Optimizing features, algorithms, and output. Master’s thesis, Tilburg University (September 2004)

3. Borthwick, A., Sterling, J., Agichtein, E., Grishman, R.: Exploiting diverse knowledge sources via maximum entropy in named entity recognition. In: Proceedings of the 6th Workshop on Very Large Corpora, WVLC 1998, Montreal, Canada (1998)

4. Carreras, X., Màrques, L., Padró, L.: Named entity extraction using adaboost. In: Proceedings of CoNLL 2002, Taipei, Taiwan, pp. 167–170 (2002)

5. Daelemans, W., Zavrel, J., van der Sloot, K., van den Bosch, A.: TiMBL: Tilburg Memory-Based Learner. Technical Report ILK 03-10, Tilburg University (November 2003)

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