PUMA publications for /author/R.%20Allenhttps://puma.uni-kassel.de/author/R.%20AllenPUMA RSS feed for /author/R.%20Allen2024-03-29T02:41:03+01:00Generality of Textshttps://puma.uni-kassel.de/bibtex/2117cc68d732e8e93f746f025152dbd2f/benzbenz2011-02-04T16:10:17+01:00genta11 <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. Allen" itemprop="url" href="/author/R.%20Allen"><span itemprop="name">R. Allen</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yejun Wu" itemprop="url" href="/author/Yejun%20Wu"><span itemprop="name">Y. Wu</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Digital Libraries: People, Knowledge, and Technology</span>, </em><em>Volume 2555 von Lecture Notes in Computer Science, </em><em><span itemprop="publisher">Springer</span>, </em><em>Berlin / Heidelberg, </em></span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)Fri Feb 04 16:10:17 CET 2011Berlin / HeidelbergDigital Libraries: People, Knowledge, and Technology111-116Lecture Notes in Computer ScienceGenerality of Texts25552010genta11 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.SpringerLink - Abstract