Web: http://arxiv.org/abs/2206.08407

June 20, 2022, 1:12 a.m. | Abdelkader El Mahdaouy, Abdellah El Mekki, Ahmed Oumar, Hajar Mousannif, Ismail Berrada

cs.CL updates on arXiv.org arxiv.org

The prevalence of toxic content on social media platforms, such as hate
speech, offensive language, and misogyny, presents serious challenges to our
interconnected society. These challenging issues have attracted widespread
attention in Natural Language Processing (NLP) community. In this paper, we
present the submitted systems to the first Arabic Misogyny Identification
shared task. We investigate three multi-task learning models as well as their
single-task counterparts. In order to encode the input text, our models rely on
the pre-trained MARBERT language …

arxiv deep identification media models on social social media

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