• DocumentCode
    633758
  • Title

    Estimation of Objective Scores of Answer Statements Posted at Q&A Sites

  • Author

    Yokoyama, Yoshisato ; Hochin, Teruhisa ; Nomiya, Hiroki

  • Author_Institution
    Dept. of Inf. Sci., Kyoto Inst. of Technol., Kyoto, Japan
  • fYear
    2013
  • fDate
    1-3 July 2013
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    To eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, we have clarified the characteristics of the question and answer statements. It has been shown that the impression of the statements could be captured by nine factors, and the factor scores could be estimated from the feature values of the statements. Here, the objective scores of answer statements are provided. This paper tries to estimate the objective scores of answer statements through multiple regression analysis. They are estimated from the factor scores estimated by using multiple regression formulas already obtained. Absolute values of the differences between the factor scores of answer statements and those of question ones, those of the answer statements having the highest scores, and those of the ones having the lowest ones, are used as the explanatory variables. It is shown that objective scores of the objective statements could be estimated fairly good, and that those of subjective statements could be estimated well by taking the natural logarithm of the factor scores.
  • Keywords
    Web sites; question answering (information retrieval); regression analysis; Q&A sites; multiple regression analysis; multiple regression formulas; natural logarithm; objective scores; question and answer sites; question and answer statements; subjective statements; Artificial intelligence; Distributed computing; Software engineering; Good Answer; Question & Answer site; factor score; multiple regression analysis; objective score;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2013 14th ACIS International Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/SNPD.2013.48
  • Filename
    6598499