The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification.
Mohsen MesgarThy Thy TranGoran GlavasIryna GurevychPublished in: EACL (2023)
Keyphrases
- classification models
- supervised learning
- classification accuracy
- machine learning
- machine learning algorithms
- machine learning methods
- model selection
- support vector machine
- training set
- training process
- training phase
- feature selection
- neural network
- statistical models
- classification scheme
- training dataset
- automatic classification
- classification performances
- training samples
- test set
- unsupervised learning
- feature set
- feature extraction
- classification algorithm
- classification method
- support vector machine svm
- text classification
- image classification
- feature vectors
- feature space
- decision trees
- tangent distance