Definition Extraction with Balanced Random Forests

Author:

Kobyliński Łukasz,Przepiórkowski Adam

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Breiman, L.: Random forests. Machine Learning 45, 5–32 (2001)

2. Chen, C., Liaw, A., Breiman, L.: Using random forest to learn imbalanced data. Technical Report 666, University of California, Berkeley (2004), http://www.stat.berkeley.edu/tech-reports/666.pdf

3. Degórski, Ł, Marcińczuk, M., Przepiórkowski, A.: Definition extraction using a sequential combination of baseline grammars and machine learning classifiers. In: Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008). ELRA, Forthcoming (2008)

4. Fahmi, I., Bouma, G.: Learning to identify definitions using syntactic features. In: Proceedings of the EACL 2006 workshop on Learning Structured Information in Natural Language Applications (2006)

5. Kingsbury, P., Palmer, M.: From TreeBank to PropBank. In: Proceedings of the Third International Conference on Language Resources and Evaluation, LREC 2002, pp. 1989–1993. ELRA, Las Palmas (2002)

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