Can We Do Interpretable NLI with Graphs Based on Atomic Propositions?
This paper introduces a fully graph-based pipeline where the classifier never directly processes the input text, and reveals that graphs and text are complementary: combining both modalities achieves 92.1% accuracy on SNLI.
Younes Boufouss, Luc Pommeret, Thomas Gerald et al.
· Conference on Automated Know... · 0 citations