@inproceedings{taboubi-etal-2022-icompass,
    title = "i{C}ompass at {WANLP} 2022 Shared Task: {ARBERT} and {MARBERT} for Multilabel Propaganda Classification of {A}rabic Tweets",
    author = "Taboubi, Bilel -  and
      Brahem, Bechir  and
      Haddad, Hatem",
    editor = "Bouamor, Houda  and
      Al-Khalifa, Hend  and
      Darwish, Kareem  and
      Rambow, Owen  and
      Bougares, Fethi  and
      Abdelali, Ahmed  and
      Tomeh, Nadi  and
      Khalifa, Salam  and
      Zaghouani, Wajdi",
    booktitle = "Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.wanlp-1.59/",
    doi = "10.18653/v1/2022.wanlp-1.59",
    pages = "511--514",
    abstract = "Arabic propaganda detection in Arabic was carried out using transformers pre-trained models ARBERT, MARBERT. They were fine-tuned for the down-stream task in hand {\textquoteleft}subtask 1', multilabel classification of Arabic tweets. Submitted model was MARBERT the got 0.597 micro F1 score and got the fifth rank."
}