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• W3088774333 abstract "We describe AraNet, a collection of deep learning Arabic social media processing tools. Namely, we exploit an extensive host of both publicly available and novel social media datasets to train bidirectional encoders from transformers (BERT) focused at social meaning extraction. AraNet models predict age, dialect, gender, emotion, irony, and sentiment. AraNet either delivers state-of-the-art performance on a number of these tasks and performs competitively on others. AraNet is exclusively based on a deep learning framework, giving it the advantage of being feature-engineering free. To the best of our knowledge, AraNet is the first to performs predictions across such a wide range of tasks for Arabic NLP. As such, AraNet has the potential to meet critical needs. We publicly release AraNet to accelerate research, and to facilitate model-based comparisons across the different tasks" @default.
• W3088774333 created "2020-10-01" @default.
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• W3088774333 date "2019-12-30" @default.
• W3088774333 modified "2023-09-27" @default.
• W3088774333 title "AraNet: A Deep Learning Toolkit for Arabic Social Media" @default.
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