Sentence Compression On Google Dataset
Metrics
F1
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| SLAHAN (LSTM+syntactic-information) | 0.855 | Syntactically Look-Ahead Attention Network for Sentence Compression |
| BiRNN + LM Evaluator | 0.851 | A Language Model based Evaluator for Sentence Compression |
| Higher-Order Syntactic Attention Network | 0.835 | Higher-Order Syntactic Attention Network for Longer Sentence Compression |
| LSTM | 0.82 | - |
| LSTMs + eye-movement | 0.81 | Improving sentence compression by learning to predict gaze |
| BiLSTM | 0.8 | Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains |
0 of 6 row(s) selected.