Towards Interpretable Natural Language Understanding with Explanations as Latent Variables.
Wangchunshu ZhouJinyi HuHanlin ZhangXiaodan LiangMaosong SunChenyan XiongJian TangPublished in: NeurIPS (2020)
Keyphrases
- natural language understanding
- latent variables
- probabilistic model
- text understanding
- semantic analysis
- knowledge representation
- language understanding
- natural language
- random variables
- real valued
- posterior distribution
- prior knowledge
- natural language processing
- latent variable models
- topic models
- gaussian process
- semantic representations
- variational bayes
- spoken dialog systems
- hidden variables
- latent space
- dialogue system
- observed variables
- structural svms
- structured prediction
- artificial intelligence
- approximate inference
- language model
- co occurrence
- data analysis
- bayesian networks
- knowledge base
- databases
- data sets