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# Arabic Relation Extraction Model
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- [Github repo](https://github.com/edchengg/GigaBERT)
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- Relation Extraction model based on [GigaBERTv4](https://huggingface.co/lanwuwei/GigaBERT-v4-Arabic-and-English).
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- Model detail: mark two entities in the sentence with special markers (e.g., XXXX <PER> entity1 </PER> XXXXXXX <ORG> entity2 </ORG> XXXXX). Then we use the BERT [CLS] representation to make a prediction.
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- ACE2005 Training data: Arabic
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- [Relation tags](https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/arabic-relations-guidelines-v6.5.pdf) including: Physical, Part-whole, Personal-Social, ORG-Affiliation, Agent-Artifact, Gen-Affiliation
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## Hyperparameters
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# Arabic Relation Extraction Model
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- [Github repo](https://github.com/edchengg/GigaBERT)
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- Relation Extraction model based on [GigaBERTv4](https://huggingface.co/lanwuwei/GigaBERT-v4-Arabic-and-English).
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- Model detail: mark two entities in the sentence with special markers (e.g., ```XXXX <PER> entity1 </PER> XXXXXXX <ORG> entity2 </ORG> XXXXX```). Then we use the BERT [CLS] representation to make a prediction.
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- ACE2005 Training data: Arabic
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- [Relation tags](https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/arabic-relations-guidelines-v6.5.pdf) including: Physical, Part-whole, Personal-Social, ORG-Affiliation, Agent-Artifact, Gen-Affiliation
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## Hyperparameters
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