Generality of Texts

  • R. B. Allen
  • Yejun Wu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2555)


When searching or browsing, a user may be looking for either very general information or very specific information. We explored predictors for characterizing the generality of six encyclopedia texts. We had human subjects rank-order the generality of the texts. We also developed statistics from analysis of word frequency and from comparison to a set of reference terms. We found a statistically significant relationship between the human ratings of text generality and our automatic measure.


Word Frequency Human Rating General Word Concrete Term Reference Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • R. B. Allen
    • 1
  • Yejun Wu
    • 1
  1. 1.College of Information StudiesUniversity of MarylandUSA

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