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--- |
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license: apache-2.0 |
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language: |
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- ar |
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- arz |
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library_name: transformers |
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pipeline_tag: text-classification |
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widget: |
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- text: عامل ايه يا باشا ؟ |
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output: |
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- label: Neutral |
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score: 0.999 |
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- label: Hate |
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score: 0.001 |
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- text: مبحبش الخلايجه |
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output: |
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- label: Hate |
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score: 0.998 |
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- label: Neutral |
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score: 0.002 |
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--- |
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## Model Card |
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This model is a fine-tuned version of [MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2). We finetuned this model for binary text classification `(Neutral-Hate)` on a custom Egyptian-Arabic hate speech dataset. |
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## Acknowledgement |
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Model fine-tuning, data collection, annotation and pre-processing for this work were performed as part of a Graduation Project from the Faculty of Engineering, AASTMT, Computer Engineering Program. |
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## Citation |
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~~~ |
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@INPROCEEDINGS{10009167, |
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author={Ahmed, Ibrahim and Abbas, Mostafa and Hatem, Rany and Ihab, Andrew and Fahkr, Mohamed Waleed}, |
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booktitle={2022 20th International Conference on Language Engineering (ESOLEC)}, |
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title={Fine-tuning Arabic Pre-Trained Transformer Models for Egyptian-Arabic Dialect Offensive Language and Hate Speech Detection and Classification}, |
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year={2022}, |
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volume={20}, |
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number={}, |
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pages={170-174}, |
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keywords={Social networking (online);Text categorization;Hate speech;Blogs;Transformers;Natural language processing;Task analysis;Arabic Hate Speech;Natural Language Processing;Transformers;Text Classification}, |
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doi={10.1109/ESOLEC54569.2022.10009167}} |
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~~~ |
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