Citace prehledoveho clanku o PAN2013 na zacatek

[pan13-paper.git] / pan13-paper / pan13-notebook.tex

diff --git a/pan13-paper/pan13-notebook.tex b/pan13-paper/pan13-notebook.tex
index 8adaa7fbe8b4bb50701a04f4498a2289c6fa0aa5..2274d06bd9ff038f382c1698ad66fa1dbfbaaa35 100755 (executable)
--- a/pan13-paper/pan13-notebook.tex
+++ b/pan13-paper/pan13-notebook.tex
@@ -29,12 +29,14 @@ with the described modifications, and further improvement is still possible.
 
 
 \section{Introduction}
-In PAN 2013 competition on plagiarism detection we participated in both the Source Retrieval
-and the Text Alignment subtask. In both tasks we adapted methodology used in PAN 2012\footnote{%
+In PAN 2013\footnote{%
+See \cite{pan2013} for an overview of PAN 2013 plagiarism detection campaign.}
+ competition on plagiarism detection we participated in both the Source Retrieval
+and the Text Alignment subtasks. In both tasks we adapted methodology used in PAN 2012\footnote{%
 See \cite{pan2012} for an overview of PAN 2012 plagiarism detection campaign.} \cite{suchomel_kas_12}.
 Section~\ref{source_retr} describes querying approach for source retrieval, where we used three different 
 types of queries. We present a new type of query based on text paragraphs.
-The query execution were controled by its type and by preliminary similarities
+The query execution was controlled by its type and by preliminary similarities
 discovered during the searches. 
 Section~\ref{text_alignment} describes our approach for the text alignment
 (pairwise comparison) subtask. We briefly introduce our system,
@@ -48,8 +50,8 @@ the results achieved and further development.
 
 
 \section{Conclusions}
-We introduces querying strategy with snippet similarity measure which approved to be
-competitive. In source retrieval subtask the strategy performed with the second best ratio 
+We introduced querying strategy with snippet similarity measure. %which approved to be competitive.
+In source retrieval subtask the strategy performed with the second best ratio 
 of recall to the number of used queries.  
 We focused our queries on selected parts of text 
 and on parts with no discovered external similarities.