IDEAS home Printed from https://ideas.repec.org/a/igg/jirr00/v4y2014i3p14-33.html
   My bibliography  Save this article

Question Answering: A Survey of Research, Techniques and Issues

Author

Listed:
  • Vaishali Singh

    (Department of Compuer Science, B.B. Ambedkar University, Lucknow, India)

  • Sanjay K. Dwivedi

    (Department of Compuer Science, B.B. Ambedkar University, Lucknow, India)

Abstract

With the huge amount of data available on web, it has turned out to be a fertile area for Question Answering (QA) research. Question answering, an instance of information retrieval research is at the cross road from several research communities such as, machine learning, statistical learning, natural language processing and pattern learning. In this paper, the authors survey the research in area of question answering with respect to different prospects of NLP, machine learning, statistical learning and pattern learning. Then they situate some of the prominent QA systems concerning these prospects and present a comparative study on the basis of question types.

Suggested Citation

  • Vaishali Singh & Sanjay K. Dwivedi, 2014. "Question Answering: A Survey of Research, Techniques and Issues," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 4(3), pages 14-33, July.
    • Handle: RePEc:igg:jirr00:v:4:y:2014:i:3:p:14-33
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2014070102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jirr00:v:4:y:2014:i:3:p:14-33. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.