Can Character-based Language Models Improve Downstream Task Performances In Low-Resource And Noisy Language Scenarios? - Arij Riabi; Benoît Sagot; Djamé Seddah (W-NUT, 2021)

Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering. - Arij Riabi; Thomas Scialom; Rachel Keraron; Benoît Sagot; Djamé Seddah; Jacopo Staiano (EMNLP (1), 2021)

Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios? - Arij Riabi; Benoît Sagot; Djamé Seddah (CoRR, 2021)

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. - Syrielle Montariol; Arij Riabi; Djamé Seddah (AACL/IJCNLP (Findings), 2022)

Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection). - Arij Riabi; Syrielle Montariol; Djamé Seddah (TALN-RECITAL, 2022)

Analyzing Zero-Shot transfer Scenarios across Spanish variants for Hate Speech Detection. - Galo Castillo-López; Arij Riabi; Djamé Seddah (VarDial@EACL, 2023)

Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language. - Arij Riabi; Menel Mahamdi; Djamé Seddah (CoRR, 2023)

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. - Stephen Mayhew 002; Terra Blevins; Shuheng Liu 002; Marek Suppa; Hila Gonen; Joseph Marvin Imperial; Börje F. Karlsson; Peiqin Lin; Nikola Ljubesic; LJ Miranda; Barbara Plank; Arij Riabi; et al. (CoRR, 2023)

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. - Stephen Mayhew 002; Terra Blevins; Shuheng Liu 002; Marek Suppa; Hila Gonen; Joseph Marvin Imperial; Börje Karlsson 001; Peiqin Lin; Nikola Ljubesic; Lester James V. Miranda; Barbara Plank; Arij Riabi; et al. (NAACL-HLT, 2024)

Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks. - Arij Riabi; Menel Mahamdi; Virginie Mouilleron; Djamé Seddah (CoRR, 2024)

Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties. - Javier A. Lopetegui; Arij Riabi; Djamé Seddah (COLING Workshops, 2025)

Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection. - Arij Riabi; Virginie Mouilleron; Menel Mahamdi; Wissam Antoun; Djamé Seddah (COLING, 2025)

IYKYK: Using language models to decode extremist cryptolects. - Christine de Kock; Arij Riabi; Zeerak Talat; Michael Sejr Schlichtkrull; Pranava Madhyastha; Eduard H. Hovy (CoRR, 2025)