Neural Network Models for Natural Language Inference Fail to Capture the Semantics of Inference
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering
Factorized Attention: Self-Attention with Linear Complexities
Testing the Generalization Power of Neural Network Models Across NLI Benchmarks
Hypothesis Only Baselines in Natural Language Inference
Extractive Summary as Discrete Latent Variables