IJCAI 2024poster4 citations

Automated Essay Scoring: Recent Successes and Future Directions

Shengjie Li, Vincent Ng

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.

Natural Language Processing: NLP: Applications
BibTeX
@inproceedings{ijcai2024p897,
  title     = {Automated Essay Scoring: Recent Successes and Future Directions},
  author    = {Li, Shengjie and Ng, Vincent},
  booktitle = {Proceedings of the Thirty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-24}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Kate Larson},
  pages     = {8114--8122},
  year      = {2024},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2024/897},
  url       = {https://doi.org/10.24963/ijcai.2024/897},
}
Automated Essay Scoring: Recent Successes and Future Directions · IJCAI 2024