| Ensembles of best 7 models + GRECO + GTP-rerank |
- F0.5
- 72.8
- Precision
- 83.9
- Recall
- 47.5
|
Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models
2024-04-23 |
코드 1 |
| Majority-voting ensemble on best 7 models |
- F0.5
- 71.8
- Precision
- 83.7
- Recall
- 45.7
|
Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models
2024-04-23 |
코드 1 |
| GRECO (voting+ESC) |
- F0.5
- 71.12
- Precision
- 79.6
- Recall
- 49.86
|
System Combination via Quality Estimation for Grammatical Error Correction
2023-10-23 |
코드 1 |
| GEC-DI (LM+GED) |
- F0.5
- 69.6
- Precision
- 79.2
- Recall
- 46.8
|
Improving Seq2Seq Grammatical Error Correction via Decoding Interventions
2023-10-23 |
코드 1 |
| Unsupervised GEC + cLang8 |
- F0.5
- 69.6
- Precision
- 75.0
- Recall
- 53.8
|
Unsupervised Grammatical Error Correction Rivaling Supervised Methods
2023-12-06 |
코드 1 |
| ESC |
- F0.5
- 69.51
- Precision
- 81.48
- Recall
- 43.78
|
Frustratingly Easy System Combination for Grammatical Error Correction
논문 날짜 미기재 |
코드 1 |
| T5 |
- F0.5
- 68.87
|
A Simple Recipe for Multilingual Grammatical Error Correction
2021-06-07 |
코드 1 · 코드 2 |
| MoECE |
- F0.5
- 67.79
- Precision
- 74.29
- Recall
- 50.21
|
Efficient and Interpretable Grammatical Error Correction with Mixture of Experts
2024-10-30 |
코드 1 |
| SynGEC |
- F0.5
- 67.6
- Precision
- 74.7
- Recall
- 49.0
|
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser
2022-10-22 |
코드 1 |
| Sequence tagging + token-level transformations + two-stage fine-tuning (+BERT, RoBERTa, XLNet) |
- F0.5
- 66.5
- Precision
- 78.2
- Recall
- 41.5
|
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
2020-05-26 |
코드 1 · 코드 2 · 코드 3 |
| LM-Critic |
- F0.5
- 65.8
|
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
2021-09-14 |
코드 1 · 코드 2 · 코드 3 |
| Sequence tagging + token-level transformations + two-stage fine-tuning (+XLNet) |
- F0.5
- 65.3
- Precision
- 77.5
- Recall
- 40.1
|
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
2020-05-26 |
코드 1 · 코드 2 · 코드 3 |
| Transformer + Pre-train with Pseudo Data (+BERT) |
- F0.5
- 65.2
|
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
2020-05-03 |
코드 1 |
| Transformer + Pre-train with Pseudo Data |
- F0.5
- 65.0
|
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
2019-09-02 |
코드 1 |
| VERNet |
- F0.5
- 63.7
|
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
2021-05-10 |
코드 1 |
| BART |
- F0.5
- 63.0
- Precision
- 69.9
- Recall
- 45.1
|
Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model
2020-05-24 |
코드 1 · 코드 2 |
| Sequence Labeling with edits using BERT, Faster inference |
- F0.5
- 61.2
|
Parallel Iterative Edit Models for Local Sequence Transduction
2019-10-07 |
코드 1 |
| Copy-augmented Model (4 Ensemble +Denoising Autoencoder) |
- F0.5
- 61.15
- Precision
- 71.57
- Recall
- 38.65
|
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
2019-03-01 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| Sequence Labeling with edits using BERT, Faster inference (Single Model) |
- F0.5
- 59.7
|
Parallel Iterative Edit Models for Local Sequence Transduction
2019-10-07 |
코드 1 |
| CNN Seq2Seq + Quality Estimation |
- F0.5
- 56.52
|
Neural Quality Estimation of Grammatical Error Correction
2018-10-01 |
코드 1 |
| SMT + BiGRU |
- F0.5
- 56.25
|
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation
2018-04-16 |
연결 없음 |
| Transformer |
- F0.5
- 55.8
|
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
2018-04-16 |
코드 1 |
| CNN Seq2Seq |
- F0.5
- 54.79
|
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
2018-01-26 |
코드 1 · 코드 2 · 코드 3 |