Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification.
Timo SchickHelmut SchmidHinrich SchützePublished in: COLING (2020)
Keyphrases
- text classification
- n gram
- unlabeled documents
- multi label
- text documents
- training documents
- distributional clustering
- text categorization
- training corpus
- text mining
- feature selection
- bag of words
- pairwise
- multi label classification
- sentiment classification
- naive bayes
- automatically generated
- automatic text classification
- class labels
- knn
- visual features
- training data
- semantic classes
- language modeling
- sentiment analysis
- labeled data
- text data
- video shots
- semantic features
- active learning
- data cleaning
- data analysis
- language model
- keywords
- video data
- machine learning