600D BiLSTM with generalized pooling

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· 2018-06-26
86.6
best: 94.7 (UnitedSynT5 (3B))
Enhancing Sentence Embedding with Generalized Pooling arXiv:1806.09828
Natural Language InferenceonSNLI
% Train Accuracy· 2018-06-26
94.9
best: 99.7 (+ Unigram and bigram features)
Enhancing Sentence Embedding with Generalized Pooling arXiv:1806.09828