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Found 4 papers, 3 papers with code
AraGPT2: Pre-Trained Transformer for Arabic Language Generation
In this paper, we develop the first advanced Arabic language generation model, AraGPT2, trained from scratch on a large Arabic corpus of internet text and news articles.
AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding
Advances in English language representation enabled a more sample-efficient pre-training task by Efficiently Learning an Encoder that Classifies Token Replacements Accurately (ELECTRA).
Multi-Task Learning using AraBert for Offensive Language Detection
The shared task on Offensive Language Detection at the OSACT4 has aimed at achieving state of art profane language detection methods for Arabic social media.
AraBERT: Transformer-based Model for Arabic Language Understanding
Recently, with the surge of transformers based models, language-specific BERT based models have proven to be very efficient at language understanding, provided they are pre-trained on a very large corpus.
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