Explaining Bayesian Networks in Natural Language: State of the Art and Challenges.
Conor HennessyAlberto BugarínEhud ReiterPublished in: NL4XAI@INGL (2020)
Keyphrases
- bayesian networks
- natural language
- lessons learned
- probabilistic reasoning
- knowledge representation
- key issues
- machine learning
- dialogue system
- language processing
- conditional independence
- probability distribution
- natural language interface
- open issues
- natural language processing
- information extraction
- real world
- learning bayesian networks
- natural language generation
- natural language understanding
- formal language
- semantic analysis
- application scenarios
- structure learning
- question answering
- bayesian belief networks
- naive bayes
- graphical models
- information systems
- learning algorithm
- text generation