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Joud Alghamdi

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Open access Aug 2026

AraCTI-NER: A Dataset and Benchmark for Arabic Cyber Threat Intelligence Named Entity Recognition

A AraCTI-NER is introduced, a dataset of 10,312 token-level annotated samples over eight STIX-inspired entity types built by an LLM-assisted pipeline seeded with authentic Arabic cybersecurity articles, structurally validated and rebalanced through targeted generation.

Joud Alghamdi, Souham Meshoul · 0 citations

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