Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder–Decoder Model
Table 4: GEC accuracy to BEA-valid for each error type. “M” indicates missing errors, “R” indicates the need for replacement edits, and “U” indicates the inclusion of unnecessary words.
['[EMPTY]', 'Type', 'P', 'R', 'F0.5']
BART-based models We compare the pretrained MASS- and BART-based models for each error type by using ERRANT Bryant et al. However, the BART-based model slightly improves the correction performance for unnecessary words (+5.35 F0.5).