Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework.
Junfan ChenRichong ZhangYongyi MaoHongyu GuoJie XuPublished in: EMNLP/IJCNLP (1) (2019)
Keyphrases
- ground truth
- expectation maximization
- em algorithm
- bayesian framework
- computer vision
- main contribution
- lightweight
- probabilistic model
- gaussian mixture
- semantic relations
- maximum likelihood
- database
- artificial neural networks
- relational databases
- multi agent
- image processing
- learning algorithm
- machine learning
- neural network