Elamur Research⌕
☰
home / papers / OSACT4 Shared Task on Offensive Language… / cited by

Who cites «OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach»

18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach»

  1. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicarXiv:2101.01785 · ACL-2021 camera ready versionMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
  2. Emojis as Anchors to Detect Arabic Offensive Language and Hate SpeechNatural Language EngineeringHamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury2022 · 96 citations
  3. SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language DetectionarXiv:2007.13974Fatemah Husain; Jooyeon Lee; Samuel Henry;, Ozlem Uzuner2020 · 1 citation

5 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/husain-2020-osact4-shared-task-offensive-language/cited-by/