MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data.
Xiaoqing GengXiwen ChenKenny Q. ZhuLibin ShenYinggong ZhaoPublished in: CIKM (2020)
Keyphrases
- meta learning
- training data
- decision trees
- learning tasks
- classification accuracy
- class labels
- supervised learning
- training set
- domain knowledge
- training samples
- model selection
- machine learning
- machine learning algorithms
- unsupervised learning
- feature selection
- data sets
- multi class
- support vector
- cost sensitive
- inductive learning
- logic programs
- semi supervised learning
- support vector machine
- benchmark datasets
- knowledge base
- machine learning methods