Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00081844" target="_blank" >RIV/00216224:14330/12:00081844 - isvavai.cz</a>

Výsledek na webu

<a href="http://dblp.uni-trier.de/db/conf/clef/clef2012w.html#SuchomelKB12" target="_blank" >http://dblp.uni-trier.de/db/conf/clef/clef2012w.html#SuchomelKB12</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection

Popis výsledku v původním jazyce

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 thebest 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.

Název v anglickém jazyce

Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection

Popis výsledku anglicky

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 thebest 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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LA09016" target="_blank" >LA09016: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

CLEF2012 Working Notes ; CEUR Workshop Proceedings Vol. 1178

ISBN

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ISSN

1613-0073

e-ISSN

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Počet stran výsledku

12

Strana od-do

1-12

Název nakladatele

Univesity "La Sapienza"

Místo vydání

Italy, Rome

Místo konání akce

Italy, Rome

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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