600D (300+300) BiLSTM encoders with intra-attention

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Natural Language InferenceonSNLI
% Test Accuracy· 2016-05-30
84.2
best: 94.7 (UnitedSynT5 (3B))
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention arXiv:1605.09090
Natural Language InferenceonSNLI
% Train Accuracy· 2016-05-30
84.5
best: 99.7 (+ Unigram and bigram features)
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention arXiv:1605.09090