Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP.
Rob van der GootAhmet ÜstünAlan RamponiBarbara PlankPublished in: CoRR (2020)
Keyphrases
- multi task learning
- multi task
- multiple tasks
- multitask learning
- learning tasks
- transfer learning
- gaussian processes
- multiple task learning
- learning problems
- high order
- learning algorithm
- theoretical analysis
- natural language processing
- multi label image annotation
- metric learning
- kernel methods
- image classification
- information extraction
- feature selection
- inductive learning
- learning models
- higher order
- text mining
- active learning
- training data
- e learning
- binary classification tasks