A Mapping Between Classifiers and Training Conditions for WSD.
Aarón Pancardo-RodríguezManuel Montes-y-GómezLuis Villaseñor PinedaPaolo RossoPublished in: CICLing (2005)
Keyphrases
- training set
- test set
- training examples
- training samples
- sufficient conditions
- trained classifiers
- training data
- word sense disambiguation
- training set size
- classifier training
- labeled training data
- supervised classification
- supervised training
- discriminative classifiers
- supervised learning
- multi layer perceptron
- classification systems
- training phase
- feature set
- decision trees
- training stage
- classification performances
- linear svm
- text classifiers
- training and testing data
- feature selection and classifier
- training process
- training algorithm
- class labels
- co occurrence
- linear classifiers
- classifier ensemble
- neural network
- machine learning algorithms
- naive bayes
- information extraction
- feature vectors
- support vector
- feature extraction
- feature selection
- sufficient training data
- learning algorithm