NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue.
Iñigo CasanuevaIvan VulicGeorgios SpithourakisPawel BudzianowskiPublished in: CoRR (2022)
Keyphrases
- natural language understanding
- multi label
- dialogue system
- natural language
- text categorization
- multi label classification
- language understanding
- spoken dialogue systems
- image classification
- binary classification
- graph cuts
- image annotation
- multi label learning
- class labels
- text classification
- knowledge representation
- user model
- hierarchical text categorization
- semantic analysis
- human users
- object recognition
- feature extraction
- feature selection
- computer vision
- data mining
- neural network