NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue.
Iñigo CasanuevaIvan VulicGeorgios SpithourakisPawel BudzianowskiPublished in: NAACL-HLT (Findings) (2022)
Keyphrases
- natural language understanding
- multi label
- dialogue system
- natural language
- text categorization
- multi label classification
- image classification
- spoken dialogue systems
- language understanding
- binary classification
- image annotation
- graph cuts
- class labels
- multi label learning
- text classification
- hierarchical text categorization
- knowledge representation
- human users
- natural language processing
- information extraction
- neural network
- human machine
- data sets
- markov random field
- semantic analysis
- low level
- high level
- databases