BiRNN + LM Evaluator

Reported on 8 benchmarks across 4 tasks

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

Natural Language Processing4 results

Sentence EmbeddingsonGoogle Dataset
CR
0.39
best: 0.43 (BiLSTM)
Sentence EmbeddingsonGoogle Dataset
F1
0.851
best: 0.855 (SLAHAN (LSTM+syntactic-information))
Sentence CompressiononGoogle Dataset
CR
0.39
best: 0.43 (BiLSTM)
Sentence CompressiononGoogle Dataset
F1
0.851
best: 0.855 (SLAHAN (LSTM+syntactic-information))

Knowledge Base2 results

Text SummarizationonGoogle Dataset
CR
0.39
best: 0.43 (BiLSTM)
Text SummarizationonGoogle Dataset
F1
0.851
best: 0.855 (SLAHAN (LSTM+syntactic-information))

Methodology2 results

Representation LearningonGoogle Dataset
CR
0.39
best: 0.43 (BiLSTM)
Representation LearningonGoogle Dataset
F1
0.851
best: 0.855 (SLAHAN (LSTM+syntactic-information))