🔗 Who cites «NSURL-2019 Task 8: Semantic Question Similarity in Arabic»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «NSURL-2019 Task 8: Semantic Question Similarity in Arabic»

1. GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi, et al.2023 · 110 citations
2. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
3. ALUE: Arabic Language Understanding EvaluationArabic Natural Language Processing Workshop (WANLP)Haitham Seelawi, Ibraheem Tuffaha, Mahmoud Gzawi, et al.2021 · 48 citations
4. Deep Contextualized Pairwise Semantic Similarity for Arabic Language QuestionsProceedings - International Conference on Tools with Artificial Intelligence, TAIHesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, et al.2019 · 16 citations
5. The Inception Team at NSURL-2019 Task 8: Semantic Question Similarity in ArabicInternational Workshop on NLP Solutions for Under Resourced Languages co-located with ICNLSP - Short PapersHana Al-Theiabat, Aisha Al-Sadi2019 · 7 citations
6. Challenging the Transformer-based models with a Classical Arabic dataset: Quran and HadithLanguage Resources and Evaluation Conference (LREC)Shatha Altammami, Eric Atwell2022 · 6 citations
7. Quranic Verses Semantic Relatedness Using AraBERTArabic Natural Language Processing Workshop (WANLP)Abdullah Alsaleh, Eric Atwell, Abdulrahman Altahhan2021 · 6 citations
8. Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in ArabicInternational Workshop on NLP Solutions for Under Resourced Languages co-located with ICNLSP - Short PapersAli Fadel, Ibraheem Tuffaha, Mahmoud Al-Ayyoub2019 · 4 citations
9. AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for ArabicWorkshop on NLP for Languages Using Arabic ScriptOmar Elshehy, Omer Nacar, Abdelbasset Djamai, et al.2026 · 2 citations
10. On the importance of Data Scale in Pretraining Arabic Language ModelsarXiv:2401.07760Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024

3 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/seelawi-2019-nsurl-2019-task-8-semantic/cited-by/