Abstract
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.
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© 2002 Springer-Verlag Berlin Heidelberg
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Allen, R.B., Wu, Y. (2002). Generality of Texts. In: Lim, E.P., et al. Digital Libraries: People, Knowledge, and Technology. ICADL 2002. Lecture Notes in Computer Science, vol 2555. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36227-4_11
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DOI: https://doi.org/10.1007/3-540-36227-4_11
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