Arabic NER model fine-tuned for Egyptian legal documents

This article details the process of fine-tuning an Arabic Named Entity Recognition (NER) model to specifically handle the Egyptian legal domain. The goal was to anonymize legal documents by accurately identifying and extracting personal names and locations within the Egyptian legal context. AI

IMPACT Adapting NLP models to specialized legal domains can improve data anonymization and information extraction accuracy in sensitive contexts.

RANK_REASON The item describes a research paper detailing the fine-tuning of an NLP model for a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]

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• Arabic
• Core Scope and Category System of Social Jurisprudence
• Egyptian

• paper

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