Journal ArticleOPEN ACCESS

Towards an Automated Islamic Fatwa System: Survey, Dataset and Benchmarks

  • Munshi A
  • AlSabban W
  • Farag A
  • et al.
International Journal of Computer Science and Mobile Computing (2021) 10(4) 118-131
DOI: 10.47760/ijcsmc.2021.v10i04.017
N/ACitations
Citations of this article
52Readers
Mendeley users who have this article in their library.

Abstract

… Recent advances in Transfer Learning in NLP (see [1][10][24]) can be utilized to build a sequence-to-sequence model for a QA system. This can be further improved and enhanced by integration to a post authentication step to validate the answer quality …

Cite

CITATION STYLE

APA

Munshi, A. A., AlSabban, W. H., Farag, A. T., Rakha, O. E., Al Sallab, A. A., & Alotaibi, M. (2021). Towards an Automated Islamic Fatwa System: Survey, Dataset and Benchmarks. International Journal of Computer Science and Mobile Computing, 10(4), 118–131. https://doi.org/10.47760/ijcsmc.2021.v10i04.017

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free