Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder–Decoder Model
Table 2: English GEC results. “Ens.” indicates the use of the ensemble method for multiple models. Bold scores represent the best score in the single models and underlined scores represent the best overall score.
['[EMPTY]', 'Ens.', 'CoNLL-14 (M2) P', 'CoNLL-14 (M2) R', 'CoNLL-14 (M2) F0.5', 'JFLEG GLEU', 'BEA-valid P', 'BEA-valid R', 'BEA-valid F0.5', 'BEA-test P', 'BEA-test R', 'BEA-test F0.5']
BART is observed to achieve better initial weights for the GEC tasks than those achieved by MASS.