Learning to combine Grammatical Error Corrections
Table 6: Change in performance when avoiding hard errors.
['System', 'P', 'R', '[ITALIC] F0.5']
Even given a single system, we are able to improve the system’s performance by eschewing predictions on low performing error types. Felice et al. In explicitly filtering corrections by error types we gain two additional benefits over the mere score improvement. First, the weak spots of the system are emphasized, and work might be directed to improving components or combining with a relevant strong system. Second, the system itself is not discouraged or changed to stop producing those corrections. So, if future enhancement would improve this type of errors enough, it will show up in results, without discouraging smaller improvements done on the way.