🔗 Who cites «LISAC FSDM-USMBA Team at SemEval-2020 Task 12: Overcoming AraBERT's pretrain-finetune discrepancy for Arabic offensive language identification»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «LISAC FSDM-USMBA Team at SemEval-2020 Task 12: Overcoming AraBERT's pretrain-finetune discrepancy for Arabic offensive language identification»

1. Emojis as Anchors to Detect Arabic Offensive Language and Hate SpeechNatural Language EngineeringHamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury2022 · 96 citations
2. Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect IdentificationArabic Natural Language Processing Workshop (WANLP)Abdellah El Mekki, Ahmed Alami, Hamza Alami, et al.2020 · 32 citations
3. High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic textsInternational Workshop on Semantic Evaluation (SemEval)Hamza Alami, Abdessamad Benlahbib, Ahmed Alami2022 · 2 citations
4. LISACTeam at SemEval-2022 Task 6: A Transformer based Approach for Intended Sarcasm Detection in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Abdessamad Benlahbib, Hamza Alami, Ahmed Alami2022 · 1 citation
5. Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuningarXiv:2507.23661Salam Thabet Doghmash, Motaz Saad2025

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

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