OBSIDIAN: An OSINT-Driven NLP Framework for Detecting Cyber-Physical Threats in Arabic Social Media
A. Almalki, Salmane Chafik, Saad Ezzini
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DialectSentEval 2026: Arabic Dialect Sentiment Analysis and Swapping Shared Task
Sentiment analysis is a fundamental problem in Natural Language Processing (NLP). Standard sentiment classification for the Arabic language remains challenging due to the high volume of dialectal Arabic. To advance research in this area, this paper proposes the Shared Task on Sentiment Analysis and Swapping in Arabic D...
Saad Ezzini, Shadi Abudalfa, Maram Alharbi et al.
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Preprint
Aug 2026
Bulbul: A Dataset for Dialectal Arabic Speech Recognition
BUL, a multi-dialect Arabic ASR dataset collected from 275 speakers in 11 Arab countries, includes structured dialect and sub-dialect coverage, as well as recordings of classical Arabic and modern standard Arabic spoken by participants in their native dialectal accents to support accent-aware modeling.
Ahmed Ashraf, Aisha Alansari, Fadel Al Abbas et al.
· 1 citation