Machine Reading Comprehension for the Holy Quran: A Comparative Study

Author:

Reggad Souhaila,Ghadi Abderrahim,El Aachak Lotfi,Samih Amina

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Hamdelsayed, M.A., et al.: Islamic application of question answering systems: comparative study. J. Adv. Comput. Sci. Technol. Res. 7(1), 29–41 (2017)

2. Utomo, F.S., Suryana, N., Azmi, M.S.: Question answering system: a review on question analysis, document processing, and answer extraction techniques. J. Theor. Appl. Inf. Technol. 95(14), 3158–3174 (2017)

3. El Bazi, I., Laachfoubi, N.: Arabic named entity recognition using deep learning approach. Int. J. Electric. Comput. Eng. 9(3), 2088–8708 (2019)

4. Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171–4186. Association for Computational Linguistics, Minneapolis (2019)

5. Mozannar, H., Maamary, E., El Hajal, K., Hajj, H.: Neural Arabic question answering. In: Proceedings of the Fourth Arabic Natural Language Processing Workshop, pp. 108–118, Florence. Association for Computational Linguistics (2019)

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