IDEAS home Printed from https://ideas.repec.org/a/igg/jbir00/v2y2011i1p46-63.html
   My bibliography  Save this article

Strategies for Improving the Efficacy of Fusion Question Answering Systems

Author

Listed:
  • José Antonio Robles-Flores

    (ESAN University, Peru)

  • Gregory Schymik

    (Arizona State University, USA)

  • Julie Smith-David

    (Arizona State University, USA)

  • Robert St. Louis

    (Arizona State University, USA)

Abstract

Web search engines typically retrieve a large number of web pages and overload business analysts with irrelevant information. One approach that has been proposed for overcoming some of these problems is automated Question Answering (QA). This paper describes a case study that was designed to determine the efficacy of QA systems for generating answers to original, fusion, list questions (questions that have not previously been asked and answered, questions for which the answer cannot be found on a single web site, and questions for which the answer is a list of items). Results indicate that QA algorithms are not very good at producing complete answer lists and that searchers are not very good at constructing answer lists from snippets. These findings indicate a need for QA research to focus on crowd sourcing answer lists and improving output format.

Suggested Citation

  • José Antonio Robles-Flores & Gregory Schymik & Julie Smith-David & Robert St. Louis, 2011. "Strategies for Improving the Efficacy of Fusion Question Answering Systems," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 2(1), pages 46-63, January.
    • Handle: RePEc:igg:jbir00:v:2:y:2011:i:1:p:46-63
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jbir.2011010104
    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:jbir00:v:2:y:2011:i:1:p:46-63. 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.