Detailed Information on Publication Record

@inproceedings{19326,
   author = {Suchomel, Šimon and Brandejs, Michal},
   address = {Toulouse, France},
   article_number = {September},
   booktitle = {Working Notes of the 6th International Conference of the {CLEF} Initiative},
   keywords = {source retrieval; suspicious document; plagiarism; plagiarism detection; query performance; search engine's queries; retrieval analysis; candidate documents retrieval; keywords; TF-IDF},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Toulouse, France},
   pages = {1-8},
   publisher = {CEUR},
   title = {Improving Synoptic Querying for Source Retrieval},
   url = {http://ceur-ws.org/Vol-1391/},
   volume = {Vol-1391},
   year = {2015}
}

TY  - JOUR
ID  - 19326
AU  - Suchomel, Šimon - Brandejs, Michal
PY  - 2015
TI  - Improving Synoptic Querying for Source Retrieval
VL  - Vol-1391
IS  - September
SP  - 0-8
EP  - 0-8
PB  - CEUR
CY  - Toulouse, France
KW  - source retrieval
KW  - suspicious document
KW  - plagiarism
KW  - plagiarism detection
KW  - query performance
KW  - search engine's queries
KW  - retrieval analysis
KW  - candidate documents retrieval
KW  - keywords
KW  - TF-IDF
UR  - http://ceur-ws.org/Vol-1391/
N2  - Source retrieval is a part of plagiarism discovery process, where only a selected set of candidate documents are retrieved from a large corpus of potential source documents and passed for detailed document comparison in order to highlight potential plagiarism. This paper describes used methodology and the architecture of source retrieval system developed for PAN 2015 lab on uncovering plagiarism, authorship, and social software misuse. The system is based on our previous systems used at PAN since 2012. The majority of features were adopted with some improvements described in this paper. The paper analyzes used methodology and discuss the queries performance. The paper provides explanation for many implementation settings in the source retrieval process. The source retrieval subsystem forms an integral part of a modern system for plagiarism discovery.
ER  - 

SUCHOMEL, Šimon and Michal BRANDEJS. Improving Synoptic Querying for Source Retrieval. Online. In \textit{Working Notes of the 6th International Conference of the $\{$CLEF$\}$ Initiative}. Toulouse, France: CEUR, 2015, p.~1-8. ISSN~1613-0073.