Frustratingly Simple Prompting-based Text Denoising
Jungyeul Park Mengyang Qiu
This paper introduces a novel perspective on the automated essay scoring
(AES) task, challenging the conventional view of the ASAP dataset as a static
entity. Employing simple text denoising techniques using prompting, we explore
the dynamic potential within the dataset. While acknowledging the previous
emphasis on building regression systems, our paper underscores how making minor
changes to a dataset through text denoising can enhance the final results.