Learning Insurance Benefit Rules from Policy Texts with Small Labeled Data.
Gabriele PiccoHoang Thanh LamVanessa LópezJohn Segrave-DalyMiao WeiMarco Luca SbodioInge VejsbjergSeamus BradyMorten KristiansenPublished in: MedInfo (2021)
Keyphrases
- labeled data
- active learning
- supervised learning
- unlabeled data
- learning algorithm
- labeled and unlabeled data
- prior knowledge
- semi supervised
- background knowledge
- semi supervised learning
- domain adaptation
- transfer learning
- class labels
- text classification
- learning tasks
- sample selection bias
- learning process
- training data
- feature engineering
- labeled instances
- labeling effort
- transferring knowledge
- unlabeled instances
- supervised learning algorithms
- labeled data for training
- semi supervised classification
- positive examples
- training examples
- reinforcement learning
- unsupervised learning
- similarity measure
- inductive inference
- knowledge transfer
- human experts
- neural network