KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification.
Chengyu WangMinghui QiuJun HuangXiaofeng HePublished in: CoRR (2020)
Keyphrases
- meta learning
- meta knowledge
- machine learning algorithms
- decision trees
- model selection
- machine learning
- benchmark datasets
- supervised learning
- domain knowledge
- prior knowledge
- support vector machine
- feature space
- expert systems
- training set
- knowledge representation
- training samples
- case study
- knowledge base
- background knowledge
- learning tasks
- inductive learning
- feature selection
- data sets