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Grammatical Error Correction on JFLEG

63.3GLEUTransformer + Pre-training + Iterative refinement + Ensemble Decoding (8)
52.27655.1385860.862Jul 3, 2018Dec 23, 2018Jun 15, 2019Dec 6, 2019May 27, 2020Nov 17, 2020May 10, 2021

Evaluation results

MethodLinks
Transformer + Pre-training + Iterative refinement + Ensemble Decoding (8)Backbone=Transformer, Pre-training=true, Iterative refinement=true, Ensemble size=8, Decoding Strategy=Sequential2019.1063.3
Lichtarge et al.pseudo-data=true, ensemble=true2020.0563.3
Base + FB learning and inferencetraining=fluency boost learning, inference=fluency boost inference2018.0762.42
Human performance2018.0762.37
ELECTRA-VERNetTop-K=5, Backbone=ELECTRA2021.0562.07
ELECTRA-VERNetTop-K=4, Backbone=ELECTRA2021.0562.05
BERT-fuse GED + R2Lpseudo-data=true, ensemble=true, R2L=true2020.0562
Kaneko et al.Configuration=Ensemble2020.0562
BERT-fuse (GED)R2L=true2021.0562
ELECTRA-VERNetTop-K=3, Backbone=ELECTRA2021.0561.8
Lichtarge et al.pseudo-data=true, ensemble=false2020.0561.6
ELECTRA-VERNetTop-K=2, Backbone=ELECTRA2021.0561.6
SMT-NMT hybrid2018.0761.5
SMT + NMT (Bi-GRU) + LM + Ensemble Decoding (4) + SpellcheckBackbone=SMT + NMT (Bi-GRU), Language Model (LM) usage=true, Ensemble size=4, Spellcheck integration=true, Decoding Strategy=Sequential2019.1061.5
Base + FB learningtraining=fluency boost learning2018.0761.41
Kiyono et al.*pseudo-data=true, ensemble=true2020.0561.4
Basic GECR2L=true2021.0561.4
BERT-fuse GEDpseudo-data=true, ensemble=false2020.0561.3
Kaneko et al.Configuration=Single2020.0561.3
BERT-fuse (GED)R2L=false2021.0561.3
BERT-VERNetTop-K=3, Backbone=BERT2021.0561.24
BERT-fusepseudo-data=true, ensemble=false2020.0561.2
BERT-fuse maskpseudo-data=true, ensemble=false2020.0561.2
Grundkiewicz et al.pseudo-data=true, ensemble=true2020.0561.2
Kiyono et al.Configuration=Ensemble2020.0561.2
BERT-VERNetTop-K=2, Backbone=BERT2021.0561.17
BERT-VERNetTop-K=4, Backbone=BERT2021.0561.16
BERT-VERNetTop-K=5, Backbone=BERT2021.0561.1
Transformer + Pre-training + LM + Spellcheck + Ensemble Decoding (4)Backbone=Transformer, Pre-training=true, Language Model (LM) usage=true, Spellcheck integration=true, Ensemble size=4, Decoding Strategy=Sequential2019.1061
PIEBackbone=Transformer, Language Model (LM) usage=true, Pre-training=true, Spellcheck integration=true, Iterative refinement=true, Ensemble size=5, Decoding Strategy=Iterative2019.1061
w/o BERTpseudo-data=true, ensemble=false2020.0561
Basic GECR2L=false2021.0561
Base convolutional seq2seq2018.0760.87
Awasthi et al.pseudo-data=true, ensemble=false2020.0560.3
Adapted-transformer2018.0759.9
Kiyono et al.pseudo-data=true, ensemble=false2020.0559.7
Kiyono et al.Configuration=Single2020.0559.7
CNN + LM + Ensemble Decoding (4) + SpellcheckBackbone=CNN, Language Model (LM) usage=true, Ensemble size=4, Spellcheck integration=true, Decoding Strategy=Sequential2019.1057.5
NUS182018.0757.47
BART-basedConfiguration=Single2020.0557.3
BART-basedConfiguration=Ensemble2020.0557.2
NUS172018.0756.78
BERT-fuse GEDpseudo-data=false, ensemble=false2020.0554.4
BERT-fuse maskpseudo-data=false, ensemble=false2020.0554.2
BERT-fusepseudo-data=false, ensemble=false2020.0554.1
BERT-initpseudo-data=false, ensemble=false2020.0553
w/o BERTpseudo-data=false, ensemble=false2020.0552.7