🔗 Who cites «SMASH at Qur'an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios»

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 «SMASH at Qur'an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios»

1. Qur'an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur'anWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksRana Malhas, Watheq Mansour, Tamer Elsayed2022 · 32 citations
2. TCE at Qur'an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur'anic QAArabic Natural Language Processing Conference (ArabicNLP)Mohammed Elkomy, Amany Sarhan2023 · 11 citations

This page in Markdown → https://md.research.elamur.ai/free/en/papers/keleg-2022-smash-qur-qa-2022-creating/cited-by/