Frustratingly Simple Prompting-based Text Denoising
This is an incremental improvement for automated essay scoring systems.
The paper tackles automated essay scoring by applying simple text denoising techniques with prompting to the ASAP dataset, showing that minor dataset modifications can improve results, though no concrete numbers are provided.
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.