Despite being investigated for over 50 years, the task of automated essay scoring continues
to draw a lot of attention in the natural language processing community in part because of its …

Automated essay scoring (AES) is the task of automatically assigning scores to essays as an
alternative to grading by humans. Although traditional AES models typically rely on manually …

In recent years, pre-trained models have become dominant in most natural language
processing (NLP) tasks. However, in the area of Automated Essay Scoring (AES), pre …

Abstract Automated Essay Scoring (AES) is a critical text regression task that automatically
assigns scores to essays based on their writing quality. Recently, the performance of …

Recent work in the field of automatic summarization and headline generation focuses on
maximizing ROUGE scores for various news datasets. We present an alternative, extrinsic …

Abstract Automated Essay Scoring (AES) aims to score essays written in response to
specific prompts. Many AES models have been proposed, but most of them are either …

Current cross-prompt automated essay scoring (AES) is a challenging task due to the large
discrepancies between different prompts, such as different genres and expressions. The …

In this work, we present an approach based on combining string kernels and word
embeddings for automatic essay scoring. String kernels capture the similarity among strings …

E-learning is gradually gaining prominence in higher education, with universities enlarging
provision and more students getting enrolled. The effectiveness of automated essay scoring …

Automated essay scoring is one of the most exciting tasks in natural language processing,
reducing massive workloads and speeding up the learning process and its effectiveness …