Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification.
Chengcheng HanZeqiu FanDongxiang ZhangMinghui QiuMing GaoAoying ZhouPublished in: CoRR (2021)
Keyphrases
- meta learning
- domain adaptation
- text classification
- labeled data
- sentiment classification
- feature selection
- learning tasks
- transfer learning
- co training
- unlabeled data
- machine learning
- model selection
- inductive learning
- document classification
- machine learning algorithms
- text categorization
- text mining
- target domain
- decision trees
- semi supervised learning
- multiple sources
- cross domain
- training data
- sentiment analysis
- data sets
- multi label
- semi supervised
- naive bayes
- object oriented
- data mining