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\title{Diverse Queries and Feature Type Selection \\ for Plagiarism Discovery}

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\author{Šimon Suchomel, Jan Kasprzak, and Michal Brandejs}
 
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\institute{Faculty of Informatics, Masaryk University, Brno, Czech Republic}

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\conference{{\bf CLEF 2013}, 23--27 September 2013, Valencia, Spain}

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\section{Introduction}

PAN 2013 LOrem ipsum Lorem ipsum Lorem ipsumLorem ipsumLorem ipsumLorem ipsumLorem ipsum 


\vfill
\columnbreak

\begin{figure}
 \centering
  \includegraphics[width=0.8\textwidth]{img/source_retrieval_process.pdf}
  \caption{Plagiarism discovery process.}
  \label{fig:process}
\end{figure} 


\end{multicols}



\begin{multicols}{2}

%\rm

%%% Introduction
\section{Querying}
Querying means to effectively utilize the search engine in order to retrieve as many relevant
documents as possible with the minimum amount of queries.
%We consider the resulting document relevantif it shares some of text characteristics with the suspicious document.
In real-world queries as such represent appreciable cost, therefore their minimization should be one of the top priorities. \\
\subsection{Types of Queries}
From the suspicious document, there were three diverse types of queries extracted.
\subsubsection{Keywords Based Queries}
\begin{ytemize}
\item TF--IDF base automated keywords extraction;
\item 5-token long; 
\item Deterministic;
\item Non-positional;
\item Non-phrasal.
\end{ytemize}
\subsubsection{Intrinsic Plagiarism Based Queries}
\begin{ytemize}
\item Averaged Word Frequency Class based chunking~\cite{AWFC};
\item Random sentence selection from the chunk;
\item Non-deterministic;
\item Positional;
\item Phrasal.
\end{ytemize}

\begin{figure}[r]{100pt}
 \centering
  \includegraphics[width=0.4\textwidth]{img/document_awfc.pdf}
\end{figure}

\subsubsection{Paragraph Based Queries}
\begin{ytemize}
\item Longest sentences from miscellaneous paragraphs;
\item Deterministic;
\item Positional;
\item Phrasal.
\end{ytemize}

\section{Selecting}
\begin{figure}
  \centering
  \includegraphics[width=0.8\textwidth]{img/snippets_graph.pdf}
  \caption{Downloads and similarities performance.}
  \label{fig:snippet_graph}
\end{figure}

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\section{Text Alignment}

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\section{Conclusion}

Nějaký závěr

%%% References

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\bibitem{ISMU}
\cemph{Masaryk University Information System}\\
{\tt http://is.muni.cz/}, contact: {\tt iscor@fi.muni.cz}.

\bibitem{Theses}
\cemph{Czech National Archive of Graduate Theses}\\
{\tt http://theses.cz/}, contact: {\tt theses@fi.muni.cz}.

\bibitem{AWFC}
\cemph{Sven Meyer Zu Eissen and Benno Stein: Intrinsic Plagiarism Detection}\\
{\tt Proceedings of the European Conference on Information Retrieval (ECIR-06)}, {\tt 2006}

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QR kód?

\cemph{Contact information:}\\
	Šimon Suchomel {\tt suchomel@fi.muni.cz},\\
	Jan Kasprzak, {\tt kas@fi.muni.cz}.


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