Generality of Texts
R. Allen, und Y. Wu.
Digital Libraries: People, Knowledge, and Technology, Volume 2555 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2010)

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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http://dx.doi.org/10.1007/3-540-36227-4_11

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@incollection{allen2010generality,
  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.},
  added-at = {2011-02-04T16:10:17.000+0100},
  address = {Berlin / Heidelberg},
  affiliation = {University of Maryland College of Information Studies College Park 20742 MD USA},
  author = {Allen, R. and Wu, Yejun},
  biburl = {https://puma.uni-kassel.de/bibtex/2117cc68d732e8e93f746f025152dbd2f/benz},
  booktitle = {Digital Libraries: People, Knowledge, and Technology},
  description = {SpringerLink - Abstract},
  doi = {10.1007/3-540-36227-4_11},
  editor = {Lim, Ee and Foo, Schubert and Khoo, Chris and Chen, Hsinchun and Fox, Edward and Urs, Shalini and Costantino, Thanos},
  interhash = {bbc03e374accd61f51dc2e9995d6573e},
  intrahash = {117cc68d732e8e93f746f025152dbd2f},
  keywords = {genta11},
  pages = {111-116},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2011-02-08T15:56:16.000+0100},
  title = {Generality of Texts},
  url = {http://dx.doi.org/10.1007/3-540-36227-4_11},
  volume = 2555,
  year = 2010
}

%0 Book Section
%1 allen2010generality
%A Allen, R.
%A Wu, Yejun
%B Digital Libraries: People, Knowledge, and Technology
%C Berlin / Heidelberg
%D 2010
%E Lim, Ee
%E Foo, Schubert
%E Khoo, Chris
%E Chen, Hsinchun
%E Fox, Edward
%E Urs, Shalini
%E Costantino, Thanos
%I Springer
%K genta11
%P 111-116
%R 10.1007/3-540-36227-4_11
%T Generality of Texts
%U http://dx.doi.org/10.1007/3-540-36227-4_11
%V 2555
%X 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.

PUMA

Generality of Texts
R. Allen, und Y. Wu.
Digital Libraries: People, Knowledge, and Technology, Volume 2555 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2010)

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PUMA

Generality of TextsR. Allen, und Y. Wu. Digital Libraries: People, Knowledge, and Technology, Volume 2555 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2010)

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Generality of Texts
R. Allen, und Y. Wu.
Digital Libraries: People, Knowledge, and Technology, Volume 2555 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2010)