Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression
<|reference_start|>Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression: Automated essay scoring (AES) involves predicting a score that reflects the writing quality of an essay. Most existing AES systems produce only a single overall score. However, users and L2 learners expect scores across different dimensions (e.g., vocabulary, grammar, coherence) for English essays in real-world applications. To address this need, we have developed two models that automatically score English essays across multiple dimensions by employing fine-tuning and other strategies on two large datasets. The results demonstrate that our systems achieve impressive performance in evaluation using three criteria: precision, F1 score, and Quadratic Weighted Kappa. Furthermore, our system outperforms existing methods in overall scoring.<|reference_end|>
@article{sun2024automatic,
    title={Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple
  Regression},
    author={Kun Sun and Rong Wang},
    journal={arXiv preprint arXiv:2406.01198},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.01198},
    primaryClass={cs.CL cs.AI}
}