Dutch named entity recognition using classifier ensembles

Computational Linguistics in the Netherlands 2010 - Selected Papers from the 20th CLIN Meeting, CLIN 2010

Volumn , Issue , 2010, Pages 29-41

  Desmet, Bart ^a   Hoste, Véronique ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION FRAMEWORK; CLASSIFIER ENSEMBLES; COMBINING CLASSIFIERS; CONDITIONAL RANDOM FIELD; DATA SETS; F-SCORE; FEATURE SETS; GENERALIZATION PERFORMANCE; GENETIC ALGORITHM APPROACH; INDIVIDUAL CLASSIFIERS; MEMORY-BASED LEARNING; NAMED ENTITY RECOGNITION; OPTIMAL ENSEMBLE; PERCENTAGE POINTS; VOTING MECHANISM;

COMPUTATIONAL LINGUISTICS;

SUPPORT VECTOR MACHINES;

EID: 84864023184     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Bogers, T. (2004), Dutch named entity recognition: Optimizing features, algorithms, and output, Master's thesis, Universiteit
2. van Tilburg, Chinchor, N. (1998), Overview of MUC-7, Proceedings of the 7th Message Understanding Conference.
3. Chinchor, N. and P. Robinson (1997), MUC-7 named entity task definition, Proceedings of the 7th Conference on Message Understanding.
4. Cucerzan, S. (2007), Large-scale named entity disambiguation based onWikipedia data, Proceedings of EMNLP-CoNLL, pp. 708-716.
5. Daelemans, W. and A. van den Bosch (2005), Memory-based Language Processing, Cambridge University Press.
6. Daelemans,W., J. Zavrel, K. Van der Sloot, and A. Van den Bosch (2009), TiMBL: Tilburg Memory Based Learner, version 6.2, reference guide, Technical Report 09-01, ILK Research Group.
7. Daelemans, W., V. Hoste, F. De Meulder, and B. Naudts (2003), Combined optimization of feature selection and algorithm parameters in machine learning of language, Machine Learning pp. 84-95. (Pubitemid 37230968)
8. De Meulder, F. and W. Daelemans (2003), Memory-based named entity recognition using unannotated data, Proceedings of the 7th Conference on Natural Language Learning.
9. Desmet, B. and V. Hoste (2010), Towards a balanced named entity corpus for Dutch, Proceedings of the International Conference on Language Resources and Evaluation (LREC).
10. Ekbal, A. and S. Saha (2010), Maximum entropy classifier ensembling using genetic algorithm for NER in Bengali, Proceedings of the International Conference on Language Resources and Evaluation (LREC).
11. Isozaki, H. and H. Kazawa (2002), Efficient support vector classifiers for named entity recognition, Proceedings of the 19th International Conference on Computational Linguistics (COLING-2002), Taipei, Taiwan.
12. Kudo, T. and Y. Matsumoto (2003), Fast methods for kernel-based text analysis, Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL 2003), pp. 24-31.
13. Lafferty, J., A. McCallum, and F. Pereira (2001), Conditional random fields: Probabilistic models for segmenting and labeling sequence data, Machine Learning International Workshop.
14. LDC (2008), ACE (Automatic Content Extraction) English Annotation Guidelines for Entities Version 6.6, Linguistic Data Consortium, Philadelphia, USA. http://projects.ldc.upenn.edu/ace/.
15. Noreen, E.W. (1989), Computer Intensive Methods for Testing Hypothesis: An Introduction, John Wiley & Sons, New York.
16. Oostdijk, N., M. Reynaert, P. Monachesi, G. Van Noord, R. Ordelman, I. Schuurman, and V. Vandeghinste (2008), From D-Coi to SoNaR: A reference corpus for Dutch, Proceedings of the Sixth International Language Resources and Evaluation (LREC'08), Marrakech, Morocco.
17. Schuurman, I., V. Hoste, and P. Monachesi (2009), Cultivating trees: Adding several semantic layers to the Lassy treebank in SoNaR, Proceedings of the 7th International Workshop on Treebanks and Linguistic Theories, Groningen, The Netherlands.
18. Tjong Kim Sang, E.F. (2002a), Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition, Proceedings of the 6th Conference on Natural Language Learning, Taipei, Taiwan, pp. 155-158.
19. Tjong Kim Sang, E.F. (2002b), Memory-based shallow parsing, Journal of Machine Learning Research 2, pp. 559-594. (Pubitemid 135712573)
20. Tjong Kim Sang, E.F. and F. De Meulder (2003), Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition, Proceedings of the 7th Conference on Natural Language Learning, Edmonton, Canada, pp. 142-147.
21. Vapnik, V. and C. Cortes (1995), Support vector networks, Machine Learning 20, pp. 273-297.
22. Wang, H., T. Zhao, H. Tan, and S. Zhang (2008), Biomedical named entity recognition based on classifiers ensemble, International Journal of Computer Science and Applications 5 (2), pp. 1-11.
23. Whitley, D. (1994), A genetic algorithm tutorial, Statistics and Computing 4, pp. 65-85.
24. Yeh, A. (2000), More accurate tests for the statistical significance of result differences, Proceedings of the 18th International Conference on Computational Linguistics (COLING-2000), Saarbrucken, Germany, pp. 947-953.