Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification.
Youngjun KimEllen RiloffStéphane M. MeystrePublished in: AMIA (2017)
Keyphrases
- instance selection
- supervised learning
- feature and instance selection
- classification accuracy
- text classification
- class labels
- semi supervised learning
- data reduction
- image classification
- labeled data
- nearest neighbor
- support vector machine
- feature vectors
- class imbalanced
- pattern recognition
- feature selection
- unsupervised learning
- training set
- active learning
- unlabeled data
- multiple instance learning
- feature extraction
- high dimensionality
- classification algorithm
- multi class
- decision trees
- classification rules
- neural network
- reinforcement learning
- support vector
- feature space
- co training
- training samples
- natural language