Keyphrases
- ensemble methods
- penn treebank
- ensemble learning
- base classifiers
- dependency parsing
- ensemble classification
- randomized trees
- dependency parser
- gradient boosting
- phrase structure
- weak classifiers
- ensemble classifier
- decision tree ensembles
- decision stumps
- majority voting
- base learners
- parse tree
- wide coverage
- random forests
- syntactic parsing
- random forest
- decision trees
- prediction accuracy
- variance reduction
- weak learners
- tree bank
- benchmark datasets
- natural language
- machine learning
- boosting algorithms
- generalization ability
- natural language processing
- multi class
- weighted voting
- learning algorithm
- imbalanced data
- training set
- machine learning methods
- semantic role labeling
- noun phrases
- negative correlation learning
- meta learning
- tree induction
- dependency structure
- context free
- feature subset
- naive bayes
- semantic roles
- classifier ensemble
- adaboost algorithm
- pos tagging
- test data