🔗 Who cites «Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets»

1. Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect IdentificationInterspeechBadr M. Abdullah, Matthew Baas, Bernd Mobius, et al.2025 · 7 citations
2. Revisiting Common Assumptions about Arabic Dialects in NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Amr Keleg, Sharon Goldwater, Walid Magdy2025 · 6 citations
3. LLM Alignment for the Arabs: A Homogenous Culture or Diverse OnesWorkshop on Cross-Cultural Considerations in NLPAmr Keleg2025 · 5 citations
4. On Using Arabic Language Dialects in Recommendation SystemsFindings of the Association for Computational LinguisticsAbdulla Alshabanah, Murali Annavaram2025 · 4 citations
5. Are Dialects Better Prompters? A Case Study on Arabic Subjective Text ClassificationFindings of the Association for Computational LinguisticsLeila Moudjari, Farah Benamara2025 · 3 citations
6. Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation SystemsFindings of the Association for Computational LinguisticsAbdulla Alshabanah, Murali Annavaram2025 · 2 citations

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