Automated Essay Scoring: Recent Successes and Future Directions

Shengjie Li, Vincent Ng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence

Survey Track. Pages 8114-8122.

https://doi.org/10.24963/ijcai.2024/897

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Abstract

Automated essay scoring (AES), the task of automatically assigning a score to an essay that summarizes its quality, is a challenging task that remains largely unsolved despite more than 50 years of research. This survey paper discusses the milestones in AES research and reflects on future directions.

Keywords

• Natural Language Processing: NLP: Applications