# Arabic NER

A high-precision named entity recognition model specifically designed for Arabic text processing, supporting detection of multiple entity types.

Wojood is a corpus for Arabic nested named entity recognition (NER), containing 550,000 word instances (Modern Standard Arabic and dialects).

Arabic and English named entity recognition model based on GigaBERTv4, supporting multiple entity type recognition

This is a model for Arabic named entity recognition, capable of identifying entities such as person names, place names, and organization names in text.

A large-scale Arabic named entity recognition (NER) model built on a completely new dataset, capable of recognizing 9 different types of entities

This is an Arabic named entity recognition model based on Flair and GloVe embeddings, supporting entity types such as locations, organizations, and persons.

An Arabic named entity recognition model fine-tuned based on CAMeLBERT Mix, supporting entity recognition in Modern Standard Arabic, dialects, and Classical Arabic

A named entity recognition model fine-tuned based on the CAMeLBERT Modern Standard Arabic (MSA) model, specifically designed for Arabic text