Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts.
Jingyuan ZhangMingming SunYue FengPing LiPublished in: ACL (2020)
Keyphrases
- structure learning
- background knowledge
- open domain
- bayesian network structures
- bayesian networks
- learning algorithm
- parameter learning
- learning process
- graphical models
- semantic relationships
- markov logic networks
- reinforcement learning
- supervised learning
- co occurrence
- prior knowledge
- conditional independence
- information retrieval