17 citations · 25 across the 8 of their papers we have counts for
3 papers · 1 filter
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification
Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar +3
Dialect and standard language identification are crucial tasks for many Arabic natural language processing applications. In this paper, we present our deep learning-based system, s…
Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language
Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar +3
The prominence of figurative language devices, such as sarcasm and irony, poses serious challenges for Arabic Sentiment Analysis (SA). While previous research works tackle SA and s…
An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction
ElMehdi Boujou, Hamza Chataoui, Abdellah El Mekki +3
Natural Language Processing (NLP) is today a very active field of research and innovation. Many applications need however big sets of data for supervised learning, suitably labelle…