Analyzing Multi-Task Learning for Abstractive Text Summarization.
Frederic KirsteinJan Philip WahleTerry RuasBela GippPublished in: CoRR (2022)
Keyphrases
- multi task learning
- text summarization
- multi task
- named entity recognition
- natural language processing
- multiple tasks
- gaussian processes
- information extraction
- learning tasks
- learning problems
- transfer learning
- theoretical analysis
- question answering
- high order
- learning algorithm
- query expansion
- named entities
- feature selection
- machine learning
- learning models
- expert systems
- conditional random fields
- regression model
- image classification
- inductive learning
- learning environment
- knowledge base
- artificial intelligence