---
title: "Who cites Context-Gloss Augmentation for — 8 citing papers"
description: "8 papers of the Elamur Research library cite «Context-Gloss Augmentation for Improving Arabic Target Sense Verification», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/malaysha-2023-context-gloss-augmentation-improving-arabic/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Context-Gloss Augmentation for Improving Arabic…](https://md.research.elamur.ai/free/en/papers/malaysha-2023-context-gloss-augmentation-improving-arabic/) / cited by

# Who cites «Context-Gloss Augmentation for Improving Arabic Target Sense Verification»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Context-Gloss Augmentation for Improving Arabic Target Sense Verification»](https://md.research.elamur.ai/free/en/papers/malaysha-2023-context-gloss-augmentation-improving-arabic/)

1. **[AraFinNLP 2024: The First Arabic Financial NLP Shared Task](https://md.research.elamur.ai/free/en/papers/malaysha-2024-arafinnlp-2024-first-arabic-financial/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sanad Malaysha, Mo El-Haj, Saad Ezzini, et al.*2024 · 30 citations*
2. **[SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarks](https://md.research.elamur.ai/free/en/papers/jarrar-2023-salma-arabic-sense-annotated-corpus/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mustafa Jarrar, Sanad Malaysha, Tymaa Hammouda, et al.*2023 · 29 citations*
3. **[ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task](https://md.research.elamur.ai/free/en/papers/khalilia-2024-arabicnlu-2024-first-arabic-natural/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohammed Khalilia, Sanad Malaysha, Reem Suwaileh, et al.*2024 · 19 citations*
4. **[Qabas: An Open-Source Arabic Lexicographic Database](https://md.research.elamur.ai/free/en/papers/jarrar-2024-qabas-open-source-arabic-lexicographic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mustafa Jarrar, Tymaa Hasanain Hammouda*2024 · 8 citations*
5. **[Upaya at ArabicNLU Shared-Task: Arabic Lexical Disambiguation using Large Language Models](https://md.research.elamur.ai/free/en/papers/rajpoot-2024-upaya-arabicnlu-shared-task-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Pawan Rajpoot, Ashvini Jindal, Ankur Parikh*2024 · 6 citations*
6. **[SinaTools: Open Source Toolkit for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/hammouda-2024-sinatools-open-source-toolkit-arabic/) [Procedia Computer Science](https://md.research.elamur.ai/free/en/venues/procedia-computer-science/)**Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia*2024 · 5 citations*
7. **[rematchka at ArabicNLU2024: Evaluating Large Language Models for Arabic Word Sense and Location Sense Disambiguation](https://md.research.elamur.ai/free/en/papers/salam-2024-rematchka-arabicnlu2024-evaluating-large-language/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Reem Abdel-Salam*2024 · 4 citations*
8. **[NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness](https://md.research.elamur.ai/free/en/papers/malaysha-2024-nlu-str-semeval-2024-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia*2024 · 3 citations*
- [← back to](https://md.research.elamur.ai/free/en/papers/malaysha-2023-context-gloss-augmentation-improving-arabic/) — Context-Gloss Augmentation for Improving Arabic Target Sense Verification