Home › Biblio ›
Decadt, B., Hoste V., Daelemans W., & van den Bosch A. (2004).  GAMBL genetic algorithm optimization of memory-based WSD. Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (Senseval-3). 108-112.
Hoste, V., Daelemans W., & Gillis S. (2004).  Using rule induction techniques to model pronunciation variation in Dutch. Computer Speech and Language. 18, 1-23.
Daelemans, W., Hoste V., De Meulder F., & Naudts B. (2003).  Combined optimization of feature selection and algorithm parameter interaction in machine learning of language. Proceedings of the 14th European Conference on Machine Learning (ECML-2003). 84-95.
Marsi, E., Reynaert M., van den Bosch A., Daelemans W., & Hoste V. (2003).  Learning to predict pitch accents and prosodic boundaries in Dutch. Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics. 489-496.
Daelemans, W., & Hoste V. (2002).  Evaluation of machine learning methods for natural language processing tasks. Proceedings of LRC-2002, the Third International Language Resources and Evaluation Conference. 755-760.
De Meulder, F., Daelemans W., & Hoste V. (2002).  A named entity recognition system for Dutch. (Theune, M., Ed.).Computational linguistics in the Netherlands 2001: selected papers form the Twelfth CLIN meeting. 77-88.
Hendrickx, I., van den Bosch A., Hoste V., & Daelemans W. (2002).  Dutch word sense disambiguation: optimizing the localness of context. (Edmonds, P., Ed.).Word sense disambiguation: recent successes and future directions. 61-66.