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--- |
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language: |
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- ar |
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thumbnail: url to a thumbnail used in social sharing |
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tags: |
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- ner |
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- token-classification |
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- Arabic-NER |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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widget: |
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- text: النجم محمد صلاح لاعب المنتخب المصري يعيش في مصر بالتحديد من نجريج, الشرقية |
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example_title: Mohamed Salah |
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- text: انا ساكن في حدايق الزتون و بدرس في جامعه عين شمس |
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example_title: Egyptian Dialect |
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- text: يقع نهر الأمازون في قارة أمريكا الجنوبية |
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example_title: Standard Arabic |
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datasets: |
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- Fine-grained-Arabic-Named-Entity-Corpora |
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pipeline_tag: token-classification |
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--- |
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# Arabic Named Entity Recognition |
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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. |
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We managed to made a model based on Arabert to support 50 entities. |
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# Paper: |
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This is the paper for the system, where you can find all the details: https://arxiv.org/abs/2308.14669 |
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# Dataset |
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- [Fine-grained Arabic Named Entity Corpora](https://fsalotaibi.kau.edu.sa/Pages-Arabic-NE-Corpora.aspx) |
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# Evaluation results |
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The model achieves the following results: |
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| Dataset | WikiFANE Gold | WikiFANE Gold | WikiFANE Gold | NewsFANE Gold | NewsFANE Gold | NewsFANE Gold |
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|:--------:|:-------:|:-------:|:------:|:------:|:---------:|:------:| |
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| (metric) | (Recall) | (Precision) | (F1) | (Recall) | (Precision) | (F1) |
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| | 87.0 | 90.5 | 88.7 | 78.1 | 77.4 | 77.7 |
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# Usage |
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The model is available on the HuggingFace model page under the name: [boda/ANER](https://huggingface.co/boda/ANER). Checkpoints are available only in PyTorch at the time. |
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### Use in python: |
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```python |
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from transformers import AutoTokenizer, AutoModelForTokenClassification |
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tokenizer = AutoTokenizer.from_pretrained("boda/ANER") |
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model = AutoModelForTokenClassification.from_pretrained("boda/ANER") |
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``` |
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# Acknowledgments |
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Thanks to [Arabert](https://github.com/aub-mind/arabert) for providing the Arabic Bert model, which we used as a base model for our work. |
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We also would like to thank [Prof. Fahd Saleh S Alotaibi](https://fsalotaibi.kau.edu.sa/Pages-Arabic-NE-Corpora.aspx) at the Faculty of Computing and Information Technology King Abdulaziz University, for providing the dataset which we used to train our model with. |
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# Contacts |
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**Abdelrahman Atef** |
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- [LinkedIn](linkedin.com/in/boda-sadalla) |
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- [Github](https://github.com/BodaSadalla98) |
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- <[email protected]> |
