| Paper | Code | F0.5 | ModelName | ReleaseDate |
|---|---|---|---|---|
| Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction | ✓ Link | 72.2 | VERNet | 2021-05-10 |
| Jointly Learning to Label Sentences and Tokens | ✓ Link | 52.07 | BiLSTM-JOINT | 2018-11-14 |
| Artificial Error Generation with Machine Translation and Syntactic Patterns | 49.11 | Ann+PAT+MT | 2017-07-17 | |
| Semi-supervised Multitask Learning for Sequence Labeling | ✓ Link | 48.48 | Bi-LSTM + LMcost | 2017-04-24 |
| Auxiliary Objectives for Neural Error Detection Models | 47.7 | Bi-LSTM + err POS GR | 2017-07-17 | |
| Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings | ✓ Link | 44.6 | Bi-LSTM+ Error- and Grammaticality-Specific Word Embeddings | 2017-11-01 |
| Attending to Characters in Neural Sequence Labeling Models | 41.88 | Bi-LSTM + charattn | 2016-11-14 | |
| Compositional Sequence Labeling Models for Error Detection in Learner Writing | 41.1 | Bi-LSTM | 2016-07-20 |