Grammatical Error Correction On Conll 2014 1
Metrics
F0.5
Results
Performance results of various models on this benchmark
Model Name | F0.5 | Paper Title | Repository |
|---|---|---|---|
| GRECO (vote+ESC) | 85.21 | System Combination via Quality Estimation for Grammatical Error Correction | |
| SMT + BiGRU | 72.04 | Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation | - |
| CNN Seq2Seq | 70.14 | A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction |
0 of 3 row(s) selected.