Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference
Open paper
Benchmark
Model
Rank
Results
natural-language-inference-on-snli
600D (300+300) Deep Gated Attn. BiLSTM encoders
#49
% Test Accuracy: 85.5
% Train Accuracy: 90.5
Parameters: 12m
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