Papers by Chadi Abou Chakra

2 papers
NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted Masking (2026.findings-acl)

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Challenge: NeoAraBERT is an open-source text-embedding model for Arabic.
Approach: They propose to train Arabic text-embedding models on open-source datasets . they benchmarked NeoAraBERT against five top-performing Arabic models on 23 tasks .
Outcome: The proposed model outperforms five other models on 23 tasks in Arabic . it shows substantial improvement on classical and modern standard Arabic compared to other models .
DAVE: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes (2023.eacl-demo)

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Challenge: a tool that uses natural language processing and machine learning to help visualize diagnostic algorithms in real-time.
Approach: They propose a tool that uses natural language processing and machine learning to visualize diagnostic algorithms in real-time.
Outcome: The proposed system automates the selection and visualization process of diagnostic algorithms.

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