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20142024
most citedDomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification

16 citations · 36 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CL2022

CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic

Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar +2

Sarcasm is a form of figurative language where the intended meaning of a sentence differs from its literal meaning. This poses a serious challenge to several Natural Language Proce…

cs.CL2022★ 2 cited

Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media

Abdelkader El Mahdaouy, Abdellah El Mekki, Ahmed Oumar +2

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 c…

cs.CL2022

UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer

Abdellah El Mekki, Abdelkader El Mahdaouy, Mohammed Akallouch +2

Building real-world complex Named Entity Recognition (NER) systems is a challenging task. This is due to the complexity and ambiguity of named entities that appear in various conte…

cs.CL2021

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…

cs.CL2021★ 6 cited

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…

cs.CL2014★ 12 cited

A Study of Association Measures and their Combination for Arabic MWT Extraction

Abdelkader El Mahdaouy, Saïd EL Alaoui Ouatik, Eric Gaussier

Automatic Multi-Word Term (MWT) extraction is a very important issue to many applications, such as information retrieval, question answering, and text categorization. Although many…