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文章基本信息

  • 标题:Arabic Text Question Answering from an Answer Retrieval Point of View: a survey
  • 本地全文:下载
  • 作者:Bodor A. B. Sati ; Mohammed A. S. Ali ; Sherif M. Abdou
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:7
  • DOI:10.14569/IJACSA.2016.070766
  • 出版社:Science and Information Society (SAI)
  • 摘要: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.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Question answering; Information retrieval; Answer retrieval; Arabic NLP
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