An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels.
Ilias ChalkidisManos FergadiotisSotiris KotitsasProdromos MalakasiotisNikolaos AletrasIon AndroutsopoulosPublished in: EMNLP (1) (2020)
Keyphrases
- multi label
- text classification
- multi label classification
- text categorization
- image annotation
- multiple labels
- binary classification
- label space
- multi label learning
- graph cuts
- class labels
- image classification
- text mining
- classifier training
- naive bayes
- bag of words
- multi instance
- feature selection
- knn
- machine learning
- text classifiers
- hierarchical text categorization
- labeled data
- object categories
- collective classification
- cost sensitive
- max margin
- image features
- active learning
- data mining
- protein function prediction
- data sets