Bagging and Boosting a Treebank Parser

John C. Henderson Eric Brill

Published in: CoRR (2000)

Keyphrases

ensemble methods
penn treebank
ensemble learning
base classifiers
dependency parsing
ensemble classification
gradient boosting
randomized trees
dependency parser
phrase structure
weak classifiers
ensemble classifier
decision stumps
prediction accuracy

base learners
wide coverage
random forests
decision trees
decision tree ensembles
majority voting
syntactic parsing
variance reduction
parse tree
random forest
weak learners
learning algorithm
generalization ability
benchmark datasets

natural language processing
tree bank
noun phrases
meta learning
boosting algorithms
machine learning methods
training data
multi class
machine learning
semantic role labeling
dependency structure
natural language
generalization error
test data

training set
tree induction
negative correlation learning
feature selection
feature set
linear combination
ensemble members
training samples
naive bayes
loss function
pos tagging
semantic parsing
context free
concept drift