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@inproceedings{985957,
author = {Horák, Aleš and Pala, Karel and Rygl, Jan},
address = {Neuveden},
booktitle = {Proceedings of the LREC 2012 Workshop on Language Resources for Public Security Applications},
editor = {Zygmunt Vetulani and Edouard Geoffrois},
keywords = {authorship attribution; web document analysis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-2-9517408-7-7},
pages = {42-45},
publisher = {Neuveden},
title = {Authorship Identification to Improve Public Security},
url = {http://www.lrec-conf.org/proceedings/lrec2012/workshops/23.LREC%202012%20Public%20Security%20Proceedings.pdf},
year = {2012}
}
TY - JOUR
ID - 985957
AU - Horák, Aleš - Pala, Karel - Rygl, Jan
PY - 2012
TI - Authorship Identification to Improve Public Security
PB - Neuveden
CY - Neuveden
SN - 9782951740877
KW - authorship attribution
KW - web document analysis
UR - http://www.lrec-conf.org/proceedings/lrec2012/workshops/23.LREC%202012%20Public%20Security%20Proceedings.pdf
N2 - In the paper, we present details of a new project aimed at automatic web document analysis for the purpose of authorship attribution based on various stylistic and grammatical features of the text. We describe the corresponding system modules with their expected functionality and provide examples of text processing and evaluating techniques.
ER -
HORÁK, Aleš, Karel PALA a Jan RYGL. Authorship Identification to Improve Public Security. Online. In Zygmunt Vetulani and Edouard Geoffrois. \textit{Proceedings of the LREC 2012 Workshop on Language Resources for Public Security Applications}. Neuveden: Neuveden, 2012, s.~42-45. ISBN~978-2-9517408-7-7.
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