Abstract, Intro a trochu zkraceni

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

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 \begin{abstract}
 This paper describes approaches used for the Plagiarism Detection task in PAN 2013 international competition
-on uncovering plagiarism, authorship, and social software misuse.
-
+on uncovering plagiarism, authorship, and social software misuse.  
+We present modified three-way search methodology for Source Retrieval subtask and analyse snippet similarity performance.
+Next, we show changes in selected feature for text alignement which led to plagdet score improvement.
+The results of source retrieval show, that presented approach is adaptable in real-world plagiarism situations.
+Improved results for text alignment achieved in the competition overall third place.
 \end{abstract}
 
 
 \section{Introduction}
-
-The notebooks shall contain a full write-up of your approach, including all details necessary to reproduce your results.
+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.
+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
+discovered during the searches. 
+In section~\ref{text_alignment} we present modified common text feature fot text alignment.
+We also compare performance of both the previous and the modified algorithms. 
 
 
-\include{simon-source_retrieval}
-\include{yenya-text_alignment}
+\input{simon-source_retrieval}
+\input{yenya-text_alignment}
 
 
 \section{Conclusions}
 
+Unfortunately the ChatNoir search engine does not support phrasal search, therefore it
+is possible that evaluated results may be quite distorted in this manner.
 
 \bibliographystyle{splncs03}
 \begin{raggedright}