Adapting Arabic NER to the Egyptian Legal Domain Through Fine-Tuning
This article details the process of fine-tuning a named-entity recognition (NER) model to specifically handle Arabic legal documents from Egypt. The goal is to accurately identify and anonymize sensitive information such as names and locations within this specialized domain. AI
IMPACT This research demonstrates a method for adapting NLP models to specialized legal domains, potentially improving data anonymization and information extraction in legal contexts.