Research on attention memory networks as a model for learning natural language inference.
Zhuang LiuDegen HuangJing ZhangKaiyu HuangPublished in: SPNLP@EMNLP (2016)
Keyphrases
- natural language
- dynamic bayesian networks
- learning scheme
- learning process
- machine learning
- inference process
- bayesian model
- power law
- boltzmann machine
- long term memory
- connectionist networks
- fully connected
- learning mechanism
- decision theoretic
- network model
- bayesian framework
- mathematical model
- learning algorithm
- computational model
- social networks
- objective function
- prior knowledge
- neural network
- short term memory
- similarity measure
- bayesian networks
- learning phase
- efficient learning
- network structure
- active learning
- probability distribution
- information extraction
- learning systems
- bayesian inference
- neural nets
- learning tasks