input document must be highlighted. This poster presents methodology used during PAN2013 competition on uncovering plagiarism.\r
\r
The whole process is depicted at picture~\ref{fig:process}. The source retrieval task is divided into\r
-2 subtasks: Quering and Selecting, during which the software utilizes given search engine. The retrieved\r
+2 subtasks: Quering and Selecting, during which the software utilizes a given search engine. The retrieved\r
sources must be examined in detail in order to highlight as many plagiarism cases as possible. This process is depicted\r
as Text Alignment. Results of this process are called {\em detections}, i.e.~passages of {\em source document} and {\em suspicious document}, which are similar enough to each other, and can serve as a basis for further manual examination for possible plagiarism.\r
%\r
%\r
\begin{figure}\r
\centering\r
- \includegraphics[width=0.7\textwidth]{img/source_retrieval_process.pdf}\r
+ \includegraphics[width=0.8\textwidth]{img/source_retrieval_process.pdf}\r
\caption{Plagiarism discovery process.}\r
\label{fig:process}\r
\end{figure} \r
%\rm\r
%%% Introduction\r
\section{Querying}\r
-Querying means to effectively utilize the search engine in order to retrieve as many relevant\r
+Querying means to effectively utilize a search engine in order to retrieve as many relevant\r
documents as possible with the minimum amount of queries.\r
%We consider the resulting document relevantif it shares some of text characteristics with the suspicious document.\r
-In real-world queries as such represent appreciable cost, therefore their minimization should be one of the top priorities. \r
+In real-world, queries as such represent appreciable cost, therefore their quantity minimization should be one of the top priorities. \r
%\subsection{Types of Queries}\r
-From the suspicious document, there were three diverse types of queries extracted.\\\r
+During initial phase, there were three diverse types of queries extracted from each suspicious document.\\\r
\begin{minipage}{0.55\linewidth}\r
\subsection{Keywords Based Queries}\r
\begin{ytemize}\r
\caption{Downloads and similarities performance.}\r
\label{fig:snippet_graph}\r
\end{figure}\r
-\r
-\r
%\r
% Yenyova cast\r
%\r
-\r
\section{Text Alignment}\r
\r
The system uses the same basic principles as in \cite{suchomel_kas_12}:\r
\begin{ytemize}\r
\item{Similar to PAN 2010 \cite{Kasprzak2010}}\r
\item{Overlapping detections removal}\r
-\item{\cemph{Result:} improvement, but not as big as in 2010}\r
+\item{\cemph{Result:} improvement, but not as significant as in 2010}\r
\end{ytemize}\r
\r
%\r