VERNet

Reported on 6 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

Grammatical Error CorrectiononJFLEG
GLEU· 2021-05-10
62.1
SOTA
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction arXiv:2105.04443
Grammatical Error CorrectiononCoNLL-2014 A1
F0.5· 2021-05-10
54.3
SOTA
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction arXiv:2105.04443
Grammatical Error CorrectiononCoNLL-2014 A2
F0.5· 2021-05-10
63.1
SOTA
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction arXiv:2105.04443
Grammatical Error CorrectiononFCE
F0.5· 2021-05-10
72.2
SOTA
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction arXiv:2105.04443
Grammatical Error CorrectiononCoNLL-2014 Shared Task
F0.5· 2021-05-10
63.7
best: 72.8 (Ensembles of best 7 models + GRECO + GTP-rerank)
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction arXiv:2105.04443
Grammatical Error CorrectiononBEA-2019 (test)
F0.5· 2021-05-10
68.9
best: 81.4 (Majority-voting ensemble on best 7 models)
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction arXiv:2105.04443