Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP.
Rob van der GootAhmet ÜstünAlan RamponiIbrahim SharafBarbara PlankPublished in: EACL (System Demonstrations) (2021)
Keyphrases
- multi task learning
- multi task
- multiple tasks
- multitask learning
- gaussian processes
- learning tasks
- transfer learning
- multiple task learning
- high order
- learning problems
- natural language processing
- theoretical analysis
- information extraction
- learning algorithm
- learning models
- multi label image annotation
- machine learning
- inductive learning
- text mining
- natural language
- image segmentation
- closed form
- higher order
- high dimensional
- information retrieval