Arabic-NER Open-Source Arabic Named Entity Recognition Model - Precise Identification of 8 Entity Types

Arabic Ner

Developed by hatmimoha

An Arabic named entity recognition model based on the pre-trained BERT model, capable of identifying 8 entity types.

Sequence Labeling Arabic#Arabic BERT #Multi-category NER #87% F1 Score

Downloads 45.56k

Release Time : 3/2/2022

Model Overview

This model is based on the arabic-bert-base pre-trained model, specifically designed for Arabic named entity recognition tasks, capable of identifying various entity types such as persons, organizations, and locations.

Model Features

Multi-category Entity Recognition

Capable of identifying 8 different types of named entities, including persons, organizations, and locations.

High Accuracy

Achieves an F1 score of 87% on the validation set, demonstrating excellent performance.

Large-scale Training Data

Trained using 378K tokens (14K sentences) of manually annotated data.

Model Capabilities

Arabic Text Processing

Named Entity Recognition

Multi-category Entity Classification

Use Cases

News Analysis

News Person Identification

Identify important person names from Arabic news

Accurately identifies political figures such as 'Nabih Berri'

Organization Extraction

Identify organizations mentioned in the news

Successfully identifies institutions like 'World Bank' and 'European Union'

Geographic Information Extraction

Location Identification

Extract geographic location information from text

Accurately identifies place names such as 'Athens' and 'Sakiz Island'

🚀 Arabic Named Entity Recognition Model

A pre-trained BERT-based model for Arabic Named Entity Recognition, capable of identifying various types of entities.

🚀 Quick Start

This is a pre-trained BERT-based (arabic-bert-base) Named Entity Recognition model for Arabic.

✨ Features

The pre-trained model can recognize the following entities:

PERSON
- This is what the political assistant of the president, Nabih Berri, and the deputy, Ali Hassan Khalil, informed.
- However, the circles of Hariri consider that he has sacrificed a lot for the country.
- And Queen Elizabeth II will thereby lose her sovereignty over one of the last Commonwealth kingdoms.
ORGANIZATION
- According to the figures of the World Bank.
- The Iraqi Army announced.
- Reuters news agency reported from three diplomats in the European Union that Belgium, Ireland, and Luxembourg also want to discuss.
- The Federal Government and the Government of the Kurdistan Region.
- This raises doubts about the participation of the Portuguese star in the upcoming match against the Spanish Barcelona.
LOCATION
- The new thing is enabling the refugees to "leave the island gradually and peacefully to Athens".
- Sakiz Island is 1 km away from Izmir.
DATE
- Tomorrow, Friday.
- October 6, 2020.
- Last year.
PRODUCT
- Through his account on the "Instagram" app.
- The second generation of the Oculus Quest virtual reality headset, named "Oculus Quest 2".
COMPETITION
- Non - participation in the French Open Tennis Championship.
- In the match of the UEFA Super Cup.
PRIZE
- The Nobel Prize in Literature.
- The one who won the "Emmy" Award for the Best Supporting Role.
EVENT
- A new song for the Saudi National Day was recorded.
- The Yafawi Women's Festival in its fourth edition.
DISEASE
- In the fight against the Corona virus and a number of diseases.
- Similar crises such as "avian influenza" and "swine influenza".

💻 Usage Examples

Basic Usage

Find here a complete example to use this model

🔧 Technical Details

Training Corpus

The training corpus is made of 378,000 tokens (14,000 sentences) collected from the Web and annotated manually.

Results

The results on a valid corpus made of 30,000 tokens shows an F - measure of ~87%.

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