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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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--- |
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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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Here's the paper that contains all the details for our model, our approach, and the training results |
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- [ANER Paper](https://drive.google.com/file/d/1jJn3iWqOeLzaNvO-6aKfgidzJlWOtvti/view?usp=sharing) |
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# Usage |
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The model is available in 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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# 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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# Acknowledgments |
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Thanks for [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 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]> |
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