Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Arabic Text Question Answering from an Answer Retrieval Point of View: a survey

Author 1: Bodor A. B. Sati Author 2: Mohammed A. S. Ali Author 3: Sherif M. Abdou
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 7 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070766

Download PDF Cite Call for Papers

Abstract

Arabic Question Answering (QA) is gaining more importance due to the importance of the language and the dramatic increase in online Arabic content. The goal of this article is to review the state-of-the-art of Arabic QA methods, to classify them into different categories from an answer retrieval viewpoint and to present their applications, issues and new trends. The main components of question answering systems are also presented. Finally, this survey provides a comparative study of systems of each type of QA based on several criteria.

Keywords

Question answering Information retrieval Answer retrieval Arabic NLP

How to Cite this Article

Sati, B. A. B., Ali, M. A. S., & Abdou, S. M. (2016). Arabic Text Question Answering from an Answer Retrieval Point of View: a survey. International Journal of Advanced Computer Science and Applications, 7(7). https://doi.org/10.14569/IJACSA.2016.070766

Sati, Bodor A. B., et al.. "Arabic Text Question Answering from an Answer Retrieval Point of View: a survey." International Journal of Advanced Computer Science and Applications, vol. 7, no. 7, 2016, https://doi.org/10.14569/IJACSA.2016.070766.

@article{Sati2016,
  title     = {Arabic Text Question Answering from an Answer Retrieval Point of View: a survey},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {7},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Bodor A. B. Sati and Mohammed A. S. Ali and Sherif M. Abdou},
  doi       = {10.14569/IJACSA.2016.070766},
  url       = {https://doi.org/10.14569/IJACSA.2016.070766}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA