SNLI
% Test Accuracy
Bi-LSTM sentence encoder (max-pooling)
Natural Language Inference
84.5
MultiNLI
Matched
Bi-LSTM sentence encoder (max-pooling)
Natural Language Inference
70.7
MultiNLI
Mismatched
Bi-LSTM sentence encoder (max-pooling)
Natural Language Inference
71.1
SNLI
% Test Accuracy
Stacked Bi-LSTMs (shortcut connections, max-pooling)
Natural Language Inference
84.8
MultiNLI
Matched
Stacked Bi-LSTMs (shortcut connections, max-pooling)
Natural Language Inference
71.4
MultiNLI
Mismatched
Stacked Bi-LSTMs (shortcut connections, max-pooling)
Natural Language Inference
72.2
SNLI
% Test Accuracy
Stacked Bi-LSTMs (shortcut connections, max-pooling, attention)
Natural Language Inference
84.4
MultiNLI
Matched
Stacked Bi-LSTMs (shortcut connections, max-pooling, attention)
Natural Language Inference
70.7
MultiNLI
Mismatched
Stacked Bi-LSTMs (shortcut connections, max-pooling, attention)
Natural Language Inference
70.5
FNC-1
Weighted Accuracy
Bi-LSTM (max-pooling, attention)
Fake News Detection
82.23
FNC-1
Per-class Accuracy (Unrelated)
Bi-LSTM (max-pooling, attention)
Fake News Detection
96.74
FNC-1
Per-class Accuracy (Discuss)
Bi-LSTM (max-pooling, attention)
Fake News Detection
81.52
FNC-1
Per-class Accuracy (Agree)
Bi-LSTM (max-pooling, attention)
Fake News Detection
51.34
FNC-1
Per-class Accuracy (Disagree)
Bi-LSTM (max-pooling, attention)
Fake News Detection
10.33