Local ensemble learning from imbalanced and noisy data for word sense disambiguation.
Bartosz KrawczykBridget T. McInnesPublished in: Pattern Recognit. (2018)
Keyphrases
- noisy data
- ensemble learning
- word sense disambiguation
- imbalanced data
- wordnet
- ensemble methods
- generalization ability
- natural language processing
- random forest
- missing data
- machine translation
- feature set
- base classifiers
- class imbalance
- concept drift
- machine learning methods
- class distribution
- ensemble classifier
- missing values
- high dimensional
- co occurrence
- multi class
- semantic similarity
- feature selection
- input data
- artificial intelligence
- high dimensionality
- data sets
- decision trees
- training data
- support vector machine
- unlabeled data
- data mining