Changeset - 2594949a76bb
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Arjen de Vries (arjen) - 11 years ago 2014-06-12 03:02:11
arjen.de.vries@cwi.nl
trying...
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mypaper-final.tex
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@@ -379,7 +379,11 @@ All of the studies used filtering as their first step to generate a smaller set
 
Moreover, there has not been a chance to study at this scale and/or a study into what type of documents defy filtering and why? In this paper, we conduct a manual examination of the documents that are missing and classify them into different categories. We also estimate the general upper bound of recall using the different entities profiles and choose the best profile that results in an increased over all performance as measured by F-measure. 
 
 
\section{Method}
 
We work with the docuemnts have relavance assessments. For this purpose, we extracted those docuemnts from the big corpus.    We experiment with all KB entities.  For each KB entity, we extract different name variants from DBpedia and Twitter. 
 
All analyses in this paper are carried out on the documents that have
 
relevance assessments associated to them. For this purpose, we
 
extracted those documents from the big corpus. We experiment with all
 
KB entities. For each KB entity, we extract different name variants
 
from DBpedia and Twitter.
 
\
 
 
\subsection{Entity Profiling}
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