Update README.md

README.md

@@ -4,7 +4,7 @@ widget:
  - text: "للوقايه من انتشار [MASK]"
 ---
 # arabert_c19: An Arabert model pretrained on 1.5 million COVID-19 multi-dialect Arabic tweets 
-**mBERT COVID-19** is a pretrained (fine-tuned) version of the mBERT model (https://huggingface.co/bert-base-multilingual-cased). 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).
+**mBERT COVID-19** [Arxiv URL](https://arxiv.org/pdf/2105.03143.pdf) is a pretrained (fine-tuned) version of the mBERT model (https://huggingface.co/bert-base-multilingual-cased). 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:
@@ -25,5 +25,21 @@ 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)
 ```
+
+# Citation
+
+Please cite as:
+
+``` bibtex
+@misc{ameur2021aracovid19mfh,
+      title={AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset}, 
+      author={Mohamed Seghir Hadj Ameur and Hassina Aliane},
+      year={2021},
+      eprint={2105.03143},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
 # Contacts
 **Hadj Ameur**: [Github](https://github.com/MohamedHadjAmeur) | <[email protected]> | <[email protected]>