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Gebrekirstos Gebremeskel - 11 years ago 2014-06-12 05:21:03
destinycome@gmail.com
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mypaper-final.tex
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@@ -723,16 +723,18 @@ features by running the classification algorithm using the fewer
 
features we implemented and their features. Our feature
 
implementations achieved better results.  The total numbers of
 
features we used are 13 and are listed below.
 
  
 
\paragraph*{Google's Cross Lingual Dictionary (GCLD)}
 
 
This is a mapping of strings to Wikipedia concepts and vice versa
 
\cite{spitkovsky2012cross}. 
 
The GCLD corpus estimates two probabilities:
 
(1) the probability with which a string is used as anchor text to
 
a Wikipedia entity 
 
%thus distributing the probability mass over the different entities that it is used as anchor text;
 
and (2) the 
 
probability that indicates the strength of co-reference of an anchor with respect to other anchors to  a given Wikipedia entity.  We use the product of both for each string.
 
 
\paragraph*{jac} 
 
  Jaccard similarity between the document and the entity's Wikipedia page
 
\paragraph*{cos} 
 
  Cosine similarity between the document and the entity's Wikipedia page
 
\paragraph*{kl} 
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