Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based Features (2021 · 10 citations)
The paper describes the ArabicProcessors entry to the WANLP 2021 shared task on Arabic sarcasm detection (subtask 1) and three-way sentiment classification (subtask.
Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy (2020 · 7 citations)
The paper describes the ArabicProcessors entry to the NADI 2020 shared task. The task is to identify the dialect of Arabic tweets at two levels: country (Subtask 1, 21 classes) and province (Subtask 2, 100 classes). The labelled data is small and skewed toward a few countries.
SI2M & AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach (2022 · 3 citations)
The authors tackle multi-label detection of propaganda techniques in Arabic tweets for the WANLP 2022 shared task. The task has 17 technique labels plus a "no technique" option, and training data is tiny and highly skewed. Their pipeline has four parts:

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Updated 31 October 2026