Can Neural Networks Understand Logical Entailment?
Richard EvansDavid SaxtonDavid AmosPushmeet KohliEdward GrefenstettePublished in: CoRR (2018)
Keyphrases
- neural network
- probabilistic logic
- pattern recognition
- logic programming
- neural network model
- artificial neural networks
- self organizing maps
- fuzzy systems
- feed forward
- probabilistic knowledge
- logical reasoning
- activation function
- multilayer perceptron
- radial basis function
- back propagation
- fuzzy logic
- recurrent neural networks
- logical rules
- logical representation
- rationality postulates
- textual entailment
- deeper understanding
- multi layer perceptron
- machine learning