Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring
Table 4: QWK scores for models with and without non prompt-specific features
['[BOLD] Model', '[BOLD] Prompts  [BOLD] 1', '[BOLD] Prompts  [BOLD] 2', '[BOLD] Prompts  [BOLD] 3', '[BOLD] Prompts  [BOLD] 4', '[BOLD] Prompts  [BOLD] 5', '[BOLD] Prompts  [BOLD] 6', '[BOLD] Prompts  [BOLD] 7', '[BOLD] Prompts  [BOLD] 8', '[BOLD] Avg']
4.3.1 Effect of Non Prompt-Specific Features The use of well-designed non prompt-specific features is important to the task of cross-prompt AES due to the need to represent essay quality in a general way. To demonstrate this, we conduct an experiment to investigate the addition of the features vector from PAES to our baselines. In each case, the features vector is concatenated with the final essay representation before the score is predicted.