Locating question difficulty through explorations in question space

  • Authors:

  • Terry Sullivan

  • Affiliations:

  • Texas Center for Educational Technology, University of North Texas, Denton, TX

  • Venue:
  • Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
  • Year:
  • 2001

  • Predicting query performance

    SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval

  • Quantifying query ambiguity

    HLT '02 Proceedings of the second international conference on Human Language Technology Research

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Abstract

Three different search effectiveness measures were used to classify 50 question narratives as easy or hard. Each measure was then encoded onto a spatial representation of interquestion similarity. Discriminant analysis based on the resulting map was able to predict question difficulty with approximately 80% accuracy, robust across multiple measures. Implications for the design of digital document collections are discussed.