ACL RD-TEC 1.0 Summarization of W04-0822
Paper Title:
AUGMENTING ENSEMBLE CLASSIFICATION FOR WORD SENSE DISAMBIGUATION WITH A KERNEL PCA MODEL
AUGMENTING ENSEMBLE CLASSIFICATION FOR WORD SENSE DISAMBIGUATION WITH A KERNEL PCA MODEL
Authors: Marine Carpuat and Weifeng Su and Dekai Wu
Primarily assigned technology terms:
- adaboost
- algorithm
- boosting
- boosting algorithm
- classification
- classifier
- classifier combination
- classifier ensemble
- classifiers
- computational linguistics
- decision trees
- dimensionality reduction
- disambiguation
- entity classification
- entity recognition
- kernel
- kernel pca
- kpca
- maximum entropy
- maximum entropy model
- named entity classification
- named entity recognition
- nearest neighbors
- polynomial kernel
- principal component analysis
- recognition
- semantic analysis
- semantic role labeling
- sense disambiguation
- sense disambiguation system
- voting
- word sense disambiguation
Other assigned terms:
- association for computational linguistics
- basque
- bayes model
- bias
- case
- catalan
- chinese lexical
- comparative study
- data set
- data sets
- dimensionality
- disambiguating word
- disambiguation model
- disambiguation system
- empirical results
- entropy
- entropy models
- evaluations
- feature
- feature set
- feature space
- hindi
- hownet
- interpretation
- kernel function
- kernel pca model
- knowledge
- knowledge base
- kpca model
- kpca-based model
- labeling
- large training
- linguistics
- mapping
- maximum entropy models
- method
- named entity
- natural language
- nouns
- precision
- role labeling
- semantic
- semantic role
- sense distinctions
- target word
- technique
- text
- training
- training set
- translations
- trees
- word
- word sense
- word senses
- word type
- word types
- wordnet
- wordnet senses
- words
- wsd model
