MICK: A Meta-Learning Framework for Few-shot Relation Classification with Little Training Data.
Xiaoqing GengXiwen ChenKenny Q. ZhuPublished in: CoRR (2020)
Keyphrases
- meta learning
- training data
- decision trees
- classification accuracy
- training set
- machine learning
- learning tasks
- supervised learning
- machine learning algorithms
- inductive learning
- meta knowledge
- data sets
- class labels
- training samples
- machine learning methods
- learning algorithm
- model selection
- image classification
- svm classifier
- feature vectors
- case study
- test data
- cost sensitive
- feature space