Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Boosting Applied toe Word Sense Disambiguation
ECML '00 Proceedings of the 11th European Conference on Machine Learning
HLT '93 Proceedings of the workshop on Human Language Technology
Boosting trees for clause splitting
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
MEANING: a roadmap to knowledge technologies
COLING-Roadmap '02 Proceedings of the 2002 COLING workshop: A roadmap for computational linguistics - Volume 13
Hi-index | 0.00 |
This paper describes the architecture and results of the TALP system presented at the SENSEVAL-2 exercise for the English lexical--sample task. This system is based on the LazyBoosting algorithm for Word Sense Disambiguation (Escudero et al., 2000), and incorporates some improvements and adaptations to this task. The evaluation reported here includes an analysis of the contribution of each component to the overall system performance.