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@inproceedings{1080912,
author = {Suchomel, Šimon and Kasprzak, Jan and Brandejs, Michal},
address = {Italy, Rome},
booktitle = {CLEF2012 Working Notes ; CEUR Workshop Proceedings Vol. 1178},
keywords = {plagiarism; document similarity; external plagiarism; intrinsic plagiarism; candidate document retrieval; web search; queries construction; common features},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Italy, Rome},
pages = {1-12},
publisher = {Univesity "La Sapienza"},
title = {Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection},
url = {http://dblp.uni-trier.de/db/conf/clef/clef2012w.html#SuchomelKB12},
year = {2012}
}
TY - JOUR
ID - 1080912
AU - Suchomel, Šimon - Kasprzak, Jan - Brandejs, Michal
PY - 2012
TI - Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection
PB - Univesity "La Sapienza"
CY - Italy, Rome
KW - plagiarism
KW - document similarity
KW - external plagiarism
KW - intrinsic plagiarism
KW - candidate document retrieval
KW - web search
KW - queries construction
KW - common features
UR - http://dblp.uni-trier.de/db/conf/clef/clef2012w.html#SuchomelKB12
L2 - http://dblp.uni-trier.de/db/conf/clef/clef2012w.html#SuchomelKB12
N2 - In this paper, we describe our approach at the PAN 2012 plagiarism detection competition. Our candidate retrieval system is based on extraction of three different types of Web queries with narrowing their execution by skipping certain passages of an input document. We have created queries based on keywords extraction, intrinsic plagiarism detection and headers extraction. We have also compared the performance of constructed queries used during the PAN 2012 test process. The proposed methodology was the best performing one in case of long term operation and also the most cost-effective one. Our detailed comparison system is based on detecting common features of several types (in the final submission, we have used two types of features: sorted word 5-grams and unsorted stop word 8-grams) in the input document pair. We propose a method of computing so called valid intervals from those features, represented by their offset and length attributes in both source and suspicious document. Previous works use the feature ordering as the measure of distance, which is not usable for multiple types of features, which do not have any natural ordering. From those valid intervals we compute final detections in the post-processing phase, where we merge neighbouring valid intervals and remove some types of overlapping detections. We further discuss other approaches which we explored, but which have not been used in our final submission. In the paper we also discuss the performance aspects of our program, parameter settings, and the relevance of current PAN 2012 rules (including the plagdet score) to the real-world plagiarism detection systems.
ER -
SUCHOMEL, Šimon, Jan KASPRZAK a Michal BRANDEJS. Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection. In \textit{CLEF2012 Working Notes ; CEUR Workshop Proceedings Vol. 1178}. Italy, Rome: Univesity ''La Sapienza''. s.~1-12. ISSN~1613-0073. 2012.
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