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 …

The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

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 …

Recent years have seen increased interests in applying the latest technological innovations,
including artificial intelligence (AI) and machine learning (ML), to the field of education. One …

Automated essay scoring (AES) involves the prediction of a score relating to the writing
quality of an essay. Most existing works in AES utilize regression objectives or ranking …

Automatic essay evaluation, an essential application of natural language processing (NLP)
technology in education, has been increasingly employed in writing instruction and …

Abstract Automatic Essay Scoring (AES) is the task of using the computer to evaluate the
quality of essays automatically. Current research on AES focuses on scoring the overall …

Abstract Deep-learning based Automatic Essay Scoring (AES) systems are being actively
used in various high-stake applications in education and testing. However, little research …

With the increasing popularity of learning Chinese as a second language (L2), the
development of an automated essay scoring (AES) method specially for Chinese L2 essays …

Abstract Automated Essay Assessment (AEA) aims to judge students' writing proficiency in
an automatic way. This paper presents a Chinese AEA system IFlyEssayAssess (IFlyEA) …