Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.
Eyal ShnarchAlon HalfonAriel GeraMarina DanilevskyYannis KatsisLeshem ChoshenMartín Santillán CooperDina EpelboimZheng ZhangDakuo WangPublished in: EMNLP (Demos) (2022)
Keyphrases
- class labels
- semantic labels
- training data
- multi label classification
- labeling effort
- label noise
- multi label
- training examples
- training samples
- labeled images
- active learning
- text classifiers
- classification algorithm
- information retrieval
- active learner
- class membership
- supervised learning
- support vector machine
- semi supervised learning
- unlabeled data
- feature selection
- lexical features
- text retrieval
- support vector
- feature space
- ground truth labels
- decision trees
- unseen data
- training set
- labeled and unlabeled data
- decision boundary
- text mining
- classification method
- unsupervised learning
- labeled data
- unlabeled examples
- positive examples
- machine learning