Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
What is the utahnlp/layer_augmentation_qa GitHub project? Description: "Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
Add it to a GitHub README or profile — the card updates as the ranking changes:
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipReport bugs or request features on the layer_augmentation_qa issue tracker:
Open GitHub Issues