Ensemble Methods for Unsupervised WSD.
Samuel BrodyRoberto NavigliMirella LapataPublished in: ACL (2006)
Keyphrases
- ensemble methods
- prediction accuracy
- random forests
- word sense disambiguation
- machine learning methods
- benchmark datasets
- generalization ability
- random forest
- decision trees
- ensemble learning
- base classifiers
- drifting concepts
- classifier ensemble
- majority voting
- supervised methods
- bootstrap sampling
- base learners
- wordnet
- neural network
- bias variance analysis
- imbalanced data
- ensemble feature selection
- supervised learning
- semi supervised
- concept drift
- ensemble classifier
- optimization algorithm
- text categorization
- natural language processing
- multiple models
- individual classifiers
- multi class
- artificial neural networks
- learning algorithm
- machine learning