activity
20172025
most citedArabic Offensive Language on Twitter: Analysis and Experiments

86 citations · 215 across the 9 of their papers we have counts for

collaborators

9 papers

eess.AS2025

Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection

Yassine El Kheir, Youness Samih, Suraj Maharjan +2

This paper conducts a comprehensive layer-wise analysis of self-supervised learning (SSL) models for audio deepfake detection across diverse contexts, including multilingual datase…

cs.CL2022★ 3 cited

Probing for Constituency Structure in Neural Language Models

David Arps, Younes Samih, Laura Kallmeyer +1

In this paper, we investigate to which extent contextual neural language models (LMs) implicitly learn syntactic structure. More concretely, we focus on constituent structure as re…

cs.CL2021

Automatic Expansion and Retargeting of Arabic Offensive Language Training

Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish +1

Rampant use of offensive language on social media led to recent efforts on automatic identification of such language. Though offensive language has general characteristics, attacks…

cs.CL2021★ 85 cited

Pre-Training BERT on Arabic Tweets: Practical Considerations

Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak +2

Pretraining Bidirectional Encoder Representations from Transformers (BERT) for downstream NLP tasks is a non-trival task. We pretrained 5 BERT models that differ in the size of the…

cs.CL2020★ 25 cited

Arabic Dialect Identification in the Wild

Ahmed Abdelali, Hamdy Mubarak, Younes Samih +2

We present QADI, an automatically collected dataset of tweets belonging to a wide range of country-level Arabic dialects -covering 18 different countries in the Middle East and Nor…

cs.SI2020★ 2 cited

A Few Topical Tweets are Enough for Effective User-Level Stance Detection

Younes Samih, Kareem Darwish

Stance detection entails ascertaining the position of a user towards a target, such as an entity, topic, or claim. Recent work that employs unsupervised classification has shown th…

cs.CL2020★ 86 cited

Arabic Offensive Language on Twitter: Analysis and Experiments

Hamdy Mubarak, Ammar Rashed, Kareem Darwish +2

Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arab…

cs.CL2018★ 3 cited

Diacritization of Maghrebi Arabic Sub-Dialects

Ahmed Abdelali, Mohammed Attia, Younes Samih +2

Diacritization process attempt to restore the short vowels in Arabic written text; which typically are omitted. This process is essential for applications such as Text-to-Speech (T…

cs.CL2017★ 11 cited

Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM

Mohamed Eldesouki, Younes Samih, Ahmed Abdelali +4

Arabic word segmentation is essential for a variety of NLP applications such as machine translation and information retrieval. Segmentation entails breaking words into their consti…