When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract).
Shumin DengNingyu ZhangZhanlin SunJiaoyan ChenHuajun ChenPublished in: AAAI (2020)
Keyphrases
- meta learning
- language model
- text classification
- language modeling
- n gram
- text mining
- feature selection
- machine learning
- learning tasks
- inductive learning
- natural language processing
- unsupervised learning
- information retrieval
- decision trees
- machine learning algorithms
- text categorization
- retrieval model
- probabilistic model
- model selection
- part of speech
- supervised learning
- naive bayes
- information extraction
- statistical language modeling
- natural language
- query expansion
- data mining
- base classifiers
- text documents
- multi label
- learning process
- semi supervised
- learning styles
- k nearest neighbor
- prior knowledge
- xml documents
- data analysis
- labeled data
- learning algorithm
- co occurrence