Arij Riabi

According to our database, Arij Riabi authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

IYKYK: Using language models to decode extremist cryptolects.

Christine de Kock, Arij Riabi, Zeerak Talat, Michael Sejr Schlichtkrull, Pranava Madhyastha, Eduard H. Hovy

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Small is Beautiful: addressing resource scarcity, language variation, and transfer challenges for automatic detection of Harmful language. ("Small is Beautiful": relever les défis de la détection automatique du langage nuisible face à la rareté des ressources, la variation linguistique et les difficultés de transfert).

Arij Riabi

PhD thesis, 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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties.

Javier A. Lopetegui, Arij Riabi, Djamé Seddah

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks.

Arij Riabi, Menel Mahamdi, Virginie Mouilleron, Djamé Seddah

CoRR, 2024

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark.

Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Suppa, Hila Gonen, Joseph Marvin Imperial, Börje Karlsson, Peiqin Lin, Nikola Ljubesic, Lester James V. Miranda, Barbara Plank, Arij Riabi, Yuval Pinter

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark.

Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Suppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson, Peiqin Lin, Nikola Ljubesic, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter

CoRR, 2023

Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language.

Arij Riabi, Menel Mahamdi, Djamé Seddah

CoRR, 2023

Analyzing Zero-Shot transfer Scenarios across Spanish variants for Hate Speech Detection.

Galo Castillo-López, Arij Riabi, Djamé Seddah

Proceedings of the Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, 2023

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

Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models.

Syrielle Montariol, Arij Riabi, Djamé Seddah

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

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

Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering.

Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, Jacopo Staiano

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Can Character-based Language Models Improve Downstream Task Performances In Low-Resource And Noisy Language Scenarios?

Arij Riabi, Benoît Sagot, Djamé Seddah

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021