Papers by Marwan Sayed

2 papers
LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring (2026.eacl-long)

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Challenge: Existing Arabic resources are small in scale and lack trait-specific annotations.
Approach: They propose to use LAILA to build a large Arabic AES dataset with holistic and trait-specific annotations of seven writing proficiency traits.
Outcome: The LAILA dataset comprises 7,859 essays annotated with holistic and trait-specific scores on seven dimensions: relevance, organization, vocabulary, style, development, mechanics, and grammar.
Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays (2026.acl-demo)

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Challenge: Existing Arabic writing technologies primarily use a single quality score for essays, but there is limited support for Arabic AES.
Approach: They propose a Web-based platform that integrates Arabic AES workflows with a user-friendly interface.
Outcome: The proposed system integrates with existing Arabic scoring systems and provides a user-friendly interface.

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