--- title: "Who cites Tafsir Dataset: A Novel Multi-Task — 2 citing papers" description: "2 papers of the Elamur Research library cite «Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic…" canonical: "https://research.elamur.ai/free/en/papers/ahmed-2022-tafsir-dataset-novel-multi-task/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ahmed-2022-tafsir-dataset-novel-multi-task/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Tafsir Dataset: A Novel Multi-Task Benchmark for…](https://md.research.elamur.ai/free/en/papers/ahmed-2022-tafsir-dataset-novel-multi-task/) / cited by # Who cites «Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature»](https://md.research.elamur.ai/free/en/papers/ahmed-2022-tafsir-dataset-novel-multi-task/) 1. **[Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs](https://md.research.elamur.ai/free/en/papers/ghallabi-2025-fann-or-flop-multigenre-multiera/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura, et al.*2025 · 16 citations* 2. **[TafsirExtractor: Text Preprocessing Pipeline preparing Classical Arabic Literature for Machine Learning Applications](https://md.research.elamur.ai/free/en/papers/kruse-2024-tafsirextractor-text-preprocessing-pipeline-preparing/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Carl Kruse, Sajawel Ahmed*2024* - [← back to](https://md.research.elamur.ai/free/en/papers/ahmed-2022-tafsir-dataset-novel-multi-task/) — Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature