boda / ANER

Arabic Named Entity Recognition

This project is made to enrich the Arabic Named Entity Recognition(ANER). Arabic is a tough language to deal with and has alot of difficulties. We managed to made a model based on Arabert to support 50 entities.

Paper:

This is the paper for the system, where you can find all the details: https://arxiv.org/abs/2308.14669

Dataset

• Fine-grained Arabic Named Entity Corpora

Evaluation results

The model achieves the following results:

Usage

The model is available on the HuggingFace model page under the name: boda/ANER . Checkpoints are available only in PyTorch at the time.

Use in python:

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("boda/ANER")

model = AutoModelForTokenClassification.from_pretrained("boda/ANER")

Acknowledgments

Thanks to Arabert for providing the Arabic Bert model, which we used as a base model for our work.

We also would like to thank Prof. Fahd Saleh S Alotaibi at the Faculty of Computing and Information Technology King Abdulaziz University, for providing the dataset which we used to train our model with.

Contacts

Abdelrahman Atef

• LinkedIn
• Github
• [email protected]