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Dec 5, 2023 · Abstract:In this work, we approach the problem of Qur'anic information retrieval (IR) in Arabic and English.
In this work, we approach the problem of Qur'anic information retrieval (IR) in Arabic and English. Using the latest state-of-the-art methods in neural IR, we ...
Dec 7, 2023 · In this work, we approach the problem of. Qur'anic information retrieval (IR) in Arabic and English. Using the latest state-of-the-art.
In this work, we approach the problem of Qur'anic information retrieval (IR) in Arabic and English. Using the latest state-of-the-art methods in neural IR, we ...
Qur'anic IR is challenged by domain-specific data scarcity, particularly for deep learning applications in English and Arabic. The paper tackles English IR ...
Leveraging Domain Adaptation and Data Augmentation to Improve ...
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Download Citation | On Jan 1, 2023, Vera Pavlova published Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic ...
In this work, we approach the problem of Qur'anic information retrieval (IR) in Arabic and English. Using the latest state-of-the-art methods in neural IR, ...
Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic. Open in new window. Thumbnails Document Outline Attachments
Sep 2, 2024 · Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic. Paper • 2312.02803 • Published Dec 5, 2023 ...
Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic. V Pavlova. Proceedings of ArabicNLP 2023, 76-88, 2023. 1, 2023.