X-Git-Url: https://www.fi.muni.cz/~kas/git//home/kas/public_html/git/?a=blobdiff_plain;f=pan13-paper%2Fpan13-notebook.tex;h=4bdcaedb1140014c5be76202e398e9d051a462b4;hb=898081691e33de22c2a04a642fc6378b9421b006;hp=a6d2ba3f9c7dc1bbd7590de86fcd611a417f2864;hpb=060415b2f4c4f0482b6a128f8103651e1c9af823;p=pan13-paper.git

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--- a/pan13-paper/pan13-notebook.tex
+++ b/pan13-paper/pan13-notebook.tex
@@ -7,7 +7,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \begin{document}
 
-\title{Improving plagiarism detection}
+\title{Diverse Queries and Feature Type Selection for Plagiarism Discovery}
 %%% Please do not remove the subtitle.
 \subtitle{Notebook for PAN at CLEF 2013}
 
@@ -19,22 +19,50 @@
 
 \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.
+The results show, that presented approach is adaptable in real-world plagiarism situations.
+For the Detailed Comparison task, we discuss feature type selection and
+global postprocessing. Resulting performance is significantly better
+with the described modifications, and further improvement is still possible.
 \end{abstract}
 
 
 \section{Introduction}
-
-The notebooks shall contain a full write-up of your approach, including all details necessary to reproduce your results.
-
-
-\include{simon-source_retrieval}
-\include{yenya-text_alignment}
+In PAN 2013 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 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,
+and then we discuss the feature types, which are usable for pairwise comparison, 
+including the evaluation of their feasibility for this purpose. We then describe
+the global (corpus-wide) optimizations used, and finally we discuss
+the results achieved and further development.
+
+\input{simon-source_retrieval}
+\input{yenya-text_alignment}
 
 
 \section{Conclusions}
-
+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. 
+Unfortunately the ChatNoir search engine currently does not support phrasal search, therefore it
+is possible that evaluated results may be quite distorted in this manner.
+
+In the text alignment subtask, we have achieved a significant improvement
+with respect to our system from PAN 2012. Further development in this
+area is still possible. For a real-world system, however, a completely
+different set of parameters and heuristics needs to be used, as a result
+of plagdet score together with the structure of the competition corpus
+being too different from the real world.
+More information obout the competition proceedings can be found in~\cite{pan2013}.
 
 \bibliographystyle{splncs03}
 \begin{raggedright}