Active Learning for BERT: An Empirical Study.
Liat Ein-DorAlon HalfonAriel GeraEyal ShnarchLena DankinLeshem ChoshenMarina DanilevskyRanit AharonovYoav KatzNoam SlonimPublished in: EMNLP (1) (2020)
Keyphrases
- active learning
- semi supervised
- learning strategies
- machine learning
- learning algorithm
- random sampling
- supervised learning
- experimental design
- sample selection
- labeled data
- batch mode active learning
- transfer learning
- crowd sourced
- training set
- batch mode
- active learning strategies
- annotation effort
- selective sampling
- pool based active learning
- unlabeled data
- training examples
- neural network
- semi supervised learning
- information retrieval
- learning process
- website
- query by committee
- computer vision
- data mining