Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification.
Alexander SpangherJonathan MaySz-Rung ShiangLingjia DengPublished in: EMNLP (1) (2021)
Keyphrases
- semi supervised learning
- supervised learning
- multi task
- instance selection
- class imbalanced
- unsupervised learning
- semi supervised
- co training
- learning problems
- unlabeled data
- machine learning
- labeled data
- learning tasks
- transfer learning
- active learning
- text classification
- class labels
- image classification
- classification accuracy
- pattern classification
- multi task learning
- classification algorithm
- support vector machine
- feature selection
- training data
- text categorization
- support vector
- feature extraction
- training samples
- decision trees
- information extraction
- class imbalance
- training set
- learning algorithm
- feature space
- cross validation
- machine learning algorithms
- prior knowledge
- generalization error
- high dimensional
- multiple instance learning
- decision boundary