Naive Bayes and Exemplar-Based approaches to Word Sense Disambiguation Revisited
Gerard EscuderoLluís MàrquezGerman RigauPublished in: CoRR (2000)
Keyphrases
- naive bayes
- word sense disambiguation
- decision trees
- wordnet
- text classification
- natural language processing
- classification accuracy
- logistic regression
- naive bayes classifier
- text classifiers
- conditional independence assumption
- training data
- feature selection
- attribute dependencies
- bayesian networks
- machine learning methods
- word sense
- text categorization
- averaged one dependence estimators
- bayesian network classifiers
- machine translation
- machine learning algorithms
- text mining