arabert_arabic_covid19

mohadz/arabert_arabic_covid19

arabert_arabic_covid19 is a fill-mask model from mohadz. Use it when you need the model to fill a missing word. It is set up for transformers.

ARABERT COVID-19 is a pretrained (fine-tuned) version of the AraBERT v2 model (https://huggingface.co/aubmindlab/bert-base-arabertv02). The pretraining was done using 1.5 million multi-dialect Arabic tweets regarding…

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At a glance

Task: Fill-Mask
Library: transformers
Model type: bert
Access: Public
Created: Mar 2, 2022
Updated: May 19, 2021
SHA: 00ac51b1

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Model card

From the Hugging Face model README

arabert_c19: An Arabert model pretrained on 1.5 million COVID-19 multi-dialect Arabic tweets

ARABERT COVID-19 is a pretrained (fine-tuned) version of the AraBERT v2 model (https://huggingface.co/aubmindlab/bert-base-arabertv02). The pretraining was done using 1.5 million multi-dialect Arabic tweets regarding the COVID-19 pandemic from the “Large Arabic Twitter Dataset on COVID-19” (https://arxiv.org/abs/2004.04315). The model can achieve better results for the tasks that deal with multi-dialect Arabic tweets in relation to the COVID-19 pandemic.

Classification results for multiple tasks including fake-news and hate speech detection when using arabert_c19 and mbert_ar_c19:

For more details refer to the paper (link)

	arabert	mbert	distilbert multi	arabert Covid-19	mbert Covid-19
Contains hate (Binary)	0.8346	0.6675	0.7145	`0.8649`	0.8492
Talk about a cure (Binary)	0.8193	0.7406	0.7127	0.9055	`0.9176`
News or opinion (Binary)	0.8987	0.8332	0.8099	`0.9163`	0.9116
Contains fake information (Binary)	0.6415	0.5428	0.4743	`0.7739`	0.7228

Preprocessing

from arabert.preprocess import ArabertPreprocessor
model_name="moha/arabert_c19"
arabert_prep = ArabertPreprocessor(model_name=model_name)
text = "للوقايه من عدم انتشار كورونا عليك اولا غسل اليدين بالماء والصابون وتكون عملية الغسل دقيقه تشمل راحة اليد الأصابع التركيز على الإبهام"
arabert_prep.preprocess(text)

Contacts

Hadj Ameur: Github | [email protected] | [email protected]

Task: Fill-Mask
Library: transformers
Type: bert
Languages: ar
Created: Mar 2, 2022
Updated: May 19, 2021