5 papers
MAPLE: A Meta-learning Framework for Cross-Prompt Essay Scoring
Salam Albatarni, May Bashendy, Sohaila Eltanbouly +1
Automated Essay Scoring (AES) faces significant challenges in cross-prompt settings, where models must generalize to unseen writing prompts. To address this limitation, we propose…
LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring
May Bashendy, Walid Massoud, Sohaila Eltanbouly +5
Automated Essay Scoring (AES) has gained increasing attention in recent years, yet research on Arabic AES remains limited due to the lack of publicly available datasets. To address…
TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring
Sohaila Eltanbouly, Salam Albatarni, Tamer Elsayed
Research on holistic Automated Essay Scoring (AES) is long-dated; yet, there is a notable lack of attention for assessing essays according to individual traits. In this work, we pr…
Graded Relevance Scoring of Written Essays with Dense Retrieval
Salam Albatarni, Sohaila Eltanbouly, Tamer Elsayed
Automated Essay Scoring automates the grading process of essays, providing a great advantage for improving the writing proficiency of students. While holistic essay scoring researc…
Can Large Language Models Automatically Score Proficiency of Written Essays?
Watheq Mansour, Salam Albatarni, Sohaila Eltanbouly +1
Although several methods were proposed to address the problem of automated essay scoring (AES) in the last 50 years, there is still much to desire in terms of effectiveness. Large…