Improving automated essay scoring by prompt prediction and matching

HIGHLIGHTS

  • who: Jingbo Sun et al. from the School of Artificial Intelligence, Beijing Normal University, Beijing, China have published the Article: Improving Automated Essay Scoring by Prompt Prediction and Matching, in the Journal: Entropy 2022, 24, 1206. of /2022/
  • what: The authors propose an essay scoring model based on fine-tuning that utilizes multi-task learning to fuse prompt features by designing two auxiliary tasks, prompt prediction, and prompt matching, which is more suitable for fine-tuning. Because the objective of this research is to improve the AES system, the main task should be given more . . .

     

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