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Reseach Article

Arabic Question Answering: A Study on Challenges, Systems, and Techniques

by Heba Samy, Ehab E. Hassanein, Khaled Shaalan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 44
Year of Publication: 2019
Authors: Heba Samy, Ehab E. Hassanein, Khaled Shaalan
10.5120/ijca2019918524

Heba Samy, Ehab E. Hassanein, Khaled Shaalan . Arabic Question Answering: A Study on Challenges, Systems, and Techniques. International Journal of Computer Applications. 181, 44 ( Mar 2019), 6-14. DOI=10.5120/ijca2019918524

@article{ 10.5120/ijca2019918524,
author = { Heba Samy, Ehab E. Hassanein, Khaled Shaalan },
title = { Arabic Question Answering: A Study on Challenges, Systems, and Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2019 },
volume = { 181 },
number = { 44 },
month = { Mar },
year = { 2019 },
issn = { 0975-8887 },
pages = { 6-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number44/30411-2019918524/ },
doi = { 10.5120/ijca2019918524 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:09:03.002565+05:30
%A Heba Samy
%A Ehab E. Hassanein
%A Khaled Shaalan
%T Arabic Question Answering: A Study on Challenges, Systems, and Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 44
%P 6-14
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The enormous increase of the amount of information available on the web creates the need for systems like Question Answering to bridge the gap between general end users and the web with its different data representations. A considerable portion of the available data on the web is written in Arabic for and by Arabic users. This paper provides a review of the Arabic Question Answering Systems building processes and the challenges met by the researchers in this topic due to the Arabic language special characteristics. A general architecture is represented for the Question Answering task on both structured and unstructured data. Then, an overview of the work done in Arabic Question Answering Systems is presented. Finally, a number of tools and linguistic resources are recommended for researchers to develop Arabic question answering systems.

References
  1. Unger, Christina, et al. “An Introduction to Question Answering over Linked Data.” Reasoning Web (2014).
  2. Al Chalabi, Hani. “Question Processing for Arabic Question Answering System” http://bspace.buid.ac.ae/bitstream/1234/760/1/120149.pdf
  3. Pundge, Ajitkumar et al. “Question Answering System, Approaches and Techniques: A Review” International Journal of Computer Applications 141 (2016): 0975-8887
  4. Ezzeldina, Amed Magdy and Shaheen, Mohamed. “Survey of Arabic Question Answering: Challenges, Tasks, Approaches, Tools, And Future Trends” ACIT (2012): 1812-0857
  5. Dahab, Mohamed Y. et al.“A Comparative Study on Arabic Stemmers” International Journal of Computer Applications 125 (2015): 0975 – 8887
  6. K. Ray, Santosh and Shaalan, Khaled. “A Review and Future Perspectives of Arabic Question Answering Systems” IEEE Transactions on Knowledge and Data Engineering 28 (2016): 3169 - 3190
  7. Brini, Wissal et al. “Factoid and definitional Arabic Question Answering system” NooJ 10 (2010)
  8. Shaalan, Khaled. “A Survey of Arabic Named Entity Recognition and Classification” Computational Linguistics. 40 (2014): 469-51
  9. Gupta, Poonam and Gupta, Vishal. “A Survey of Text Question Answering Techniques” International Journal of Computer Applications. 53 (2012): 0975 – 8887
  10. Refaee, Eshrag and Rieser, Verena. “Subjectivity and Sentiment Analysis of Arabic Twitter Feeds with Limited Resources” Workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tools Workshop Programme. (2014)
  11. Hamdelsayed, MA and Atwell, ES “Islamic Applications of Automatic Question-Answering” Journal of Engineering and Computer Science, 17 (2016).
  12. Al-Shargi , Faisal and Rambow, Owen. “DIWAN: A Dialectal Word Annotation Tool for Arabic” (2015).
  13. N. Bdour, Wafa and Gharaibeh, Natheer K. “Development of Yes/No Arabic Question Answering System” IJAIA 4 (2013).
  14. Badia, Antonio. “Question answering and database querying: Bridging the gap with generalized quantification” Journal of Applied Logic. 5 (2007).
  15. W. AbuTaha, Alaa. “An Ontology-Based Arabic Question Answering System” http://library.iugaza.edu.ps/thesis/115181.pdf
  16. Sheker, Mustefa. “Domain-Specific Ontology-Based Approach For Arabic Question Answering” JATIT 83 (2015): 1992-8645 .
  17. Al-Chalabi, Hani et al. “Semantic based Query Expansion for Arabic Question Answering Systems” First International Conference on Arabic Computational Linguistics. (2015 ).
  18. Bakari, Wided et al. “Researches and Reviews in Arabic Question Answering: principal approaches and systems with classification” ACIT. (2016).
  19. Al-Chalabi, Hani et al. “Question Classification for Arabic Question Answering Systems” ICTRC. (2015).
  20. Radev, Dragomir et al. “Probabilistic Question Answering on the Web,” J. Am. Soc. Inf. Sci. Technol. 56 (2005): 571–583.
  21. Diekema, Anne et al. “Question Answering : CNLP at the TREC-9 Question Answering Track” TREC-9. (2000).
  22. Yao, Xuchen and Durme, Benjamin. “Information Extraction over Structured Data: Question Answering with Freebase” ACL. (2014).
  23. Watanabe, Yusuke et al. “Question Answering from Unstructured Text by Retrieval and Comprehension” cs.CL. (2015).
  24. Bakari, Wided et al. “Towards Logical Inference for Arabic Question-Answering” International Conference on Intelligent Text Processing and Computational Linguistics. (2015).
  25. Haoda Huang, Benyu Zhang “Text Segmentation” Encyclopedia of Database Systems (2009).
Index Terms

Computer Science
Information Sciences

Keywords

QA QAS Ontology linked data