Question-Aware Deep Learning Model for Arabic Machine Reading Comprehension

Author:

Al-Harbi Marwa,Obeidat RashaORCID,Al-Ayyoub Mahmoud,Alawneh Luay

Publisher

Springer Nature Switzerland

Reference33 articles.

1. AraElectra for question answering on Arabic-SQuADv2. https://huggingface.co/ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA. Accessed 13 Apr 2010

2. Abdi, A., Hasan, S., Arshi, M., Shamsuddin, S.M., Idris, N.: A question answering system in hadith using linguistic knowledge. Comput. Speech Lang. 60, 101023 (2020)

3. Albilali, E., Al-Twairesh, N., Hosny, M.: Constructing Arabic reading comprehension datasets: Arabic WikiReading and KaifLematha. Lang. Resour. Eval., 1–36 (2022)

4. Antoun, W., Baly, F., Hajj, H.: AraBERT: transformer-based model for Arabic language understanding. In: Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection, pp. 9–15 (2020)

5. Antoun, W., Baly, F., Hajj, H.: AraELECTRA: pre-training text discriminators for Arabic language understanding. arXiv preprint arXiv:2012.15516 (2020)

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1. Leveraging Pre-trained Language Models for Arabic Machine Reading Comprehension with Unanswerable questions;2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS);2023-11-21

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