--- title: "Who cites DARES: Dataset for Arabic — 14 citing papers" description: "14 papers of the Elamur Research library cite «DARES: Dataset for Arabic Readability Estimation of School Materials», found in their…" canonical: "https://research.elamur.ai/free/en/papers/haj-2024-dares-dataset-arabic-readability-estimation/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/haj-2024-dares-dataset-arabic-readability-estimation/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [DARES: Dataset for Arabic Readability Estimation…](https://md.research.elamur.ai/free/en/papers/haj-2024-dares-dataset-arabic-readability-estimation/) / cited by # Who cites «DARES: Dataset for Arabic Readability Estimation of School Materials» 14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «DARES: Dataset for Arabic Readability Estimation of School Materials»](https://md.research.elamur.ai/free/en/papers/haj-2024-dares-dataset-arabic-readability-estimation/) 1. **[The AraGenEval Shared Task on Arabic Authorship Style Transfer and AI Generated Text Detection](https://md.research.elamur.ai/free/en/papers/abudalfa-2025-arageneval-shared-task-arabic-authorship/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Shadi Abudalfa, Saad Ezzini, Ahmed Abdelali, et al.*2025 · 36 citations* 2. **[BAREC Shared Task 2025 on Arabic Readability Assessment](https://md.research.elamur.ai/free/en/papers/elmadani-2025-barec-shared-task-2025-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Khalid N. Elmadani, Bashar Alhafni, Hanada Taha, et al.*2025 · 18 citations* 3. **[Guidelines for Fine-grained Sentence-level Arabic Readability Annotation](https://md.research.elamur.ai/free/en/papers/habash-2025-guidelines-fine-grained-sentence-level/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Nizar Habash, Hanada Taha-Thomure, Khalid N. Elmadani, et al.*2025 · 18 citations* 4. **[ADOR: Dataset for Arabic Dialects in Hotel Reviews: A Human Benchmark for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alharbi-2025-ador-dataset-arabic-dialects-hotel/) [Workshop on Advancing NLP for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/lowresnlp/)**Maram I. Alharbi, Saad Ezzini, Hansi Hettiarachchi, et al.*2025 · 6 citations* 5. **[A Large and Balanced Multi-Domain Arabic Corpus Annotated for Morphology, Syntax, and Readability](https://md.research.elamur.ai/free/en/papers/elmadani-2026-large-balanced-multi-domain-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Khalid N. Elmadani, Adel Mahmoud Wizani, Hanada Taha Thomure, et al.*2026 · 2 citations* 6. **[GNNinjas at BAREC Shared Task 2025: Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction](https://md.research.elamur.ai/free/en/papers/elchafei-2025-gnninjas-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Passant Elchafei, Mayar Osama, Mohamad Rageh, et al.*2025 · 2 citations* 7. **[!MSA at BAREC Shared Task 2025: Ensembling Arabic Transformers for Readability Assessment](https://md.research.elamur.ai/free/en/papers/basem-2025-msa-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Basem, Mohamed Younes, Seif Ahmed, et al.*2025 · 1 citation* 8. **[LIS at BAREC Shared Task 2025: Multi-Scale Curriculum Learning for Arabic Sentence-Level Readability Assessment Using Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/djoudi-2025-lis-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Anya Amel Nait Djoudi, Patrice Bellot, Adrian-Gabriel Chifu*2025 · 1 citation* 9. **[MorphoArabia at BAREC Shared Task 2025: A Hybrid Architecture with Morphological Analysis for Arabic Readability Assessment](https://md.research.elamur.ai/free/en/papers/elden-2025-morphoarabia-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Emad Elden, Fatimah*2025 · 1 citation* 10. [**AraGenre 2026: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task arXiv:2609.27387 · The 4th ArabicNLP conference at EMNLP 2026**Mo El-Haj, Saad Ezzini, Shadi Abudalfa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/el-haj-2026-aragenre-2026-hierarchical-definition-guided/) 11. **[Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation](https://md.research.elamur.ai/free/en/papers/rabih-2026-can-llms-control-readability-multi/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Nour Rabih, Chatrine Qwaider, Ted Briscoe*2026* 12. **[Structured Prompting for Arabic Essay Proficiency: A Trait-Centric Evaluation Approach](https://md.research.elamur.ai/free/en/papers/mandhari-2026-structured-prompting-arabic-essay-proficiency/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Salim Al Mandhari, Hieu Pham Dinh, Mo El-Haj, et al.*2026* 13. **[Transformer-based readability classifiers are worse than you think: Evidence from cross-domain Arabic readability assessment](https://md.research.elamur.ai/free/en/papers/alzubi-2026-transformer-based-readability-classifiers-are/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sarah Alzubi, Robert Reynolds*2026* 14. [**Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction arXiv:2509.22870**Passant Elchafei, Mayar Osama, Mohamed Rageh, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elchafei-2025-lexicon-enriched-graph-modeling-arabic/) - [← back to](https://md.research.elamur.ai/free/en/papers/haj-2024-dares-dataset-arabic-readability-estimation/) — DARES: Dataset for Arabic Readability Estimation of School Materials