DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Open paper
Benchmark
Model
Rank
Results
natural-language-inference-on-snli
300D Directional self-attention network encoders
#48
% Test Accuracy: 85.6
% Train Accuracy: 91.1
Parameters: 2.4m
Rank counts only results with a code link.