@inproceedings{sluban-etal-2012-irregularity,
title = "Irregularity Detection in Categorized Document Corpora",
author = "Sluban, Borut and
Pollak, Senja and
Coesemans, Roel and
Lavra{\v{c}}, Nada",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/706_Paper.pdf",
pages = "1598--1603",
abstract = "The paper presents an approach to extract irregularities in document corpora, where the documents originate from different sources and the analyst's interest is to find documents which are atypical for the given source. The main contribution of the paper is a voting-based approach to irregularity detection and its evaluation on a collection of newspaper articles from two sources: Western (UK and US) and local (Kenyan) media. The evaluation of a domain expert proves that the method is very effective in uncovering interesting irregularities in categorized document corpora.",
}
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%0 Conference Proceedings
%T Irregularity Detection in Categorized Document Corpora
%A Sluban, Borut
%A Pollak, Senja
%A Coesemans, Roel
%A Lavrač, Nada
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F sluban-etal-2012-irregularity
%X The paper presents an approach to extract irregularities in document corpora, where the documents originate from different sources and the analyst’s interest is to find documents which are atypical for the given source. The main contribution of the paper is a voting-based approach to irregularity detection and its evaluation on a collection of newspaper articles from two sources: Western (UK and US) and local (Kenyan) media. The evaluation of a domain expert proves that the method is very effective in uncovering interesting irregularities in categorized document corpora.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/706_Paper.pdf
%P 1598-1603
Markdown (Informal)
[Irregularity Detection in Categorized Document Corpora](http://www.lrec-conf.org/proceedings/lrec2012/pdf/706_Paper.pdf) (Sluban et al., LREC 2012)
ACL
- Borut Sluban, Senja Pollak, Roel Coesemans, and Nada Lavrač. 2012. Irregularity Detection in Categorized Document Corpora. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1598–1603, Istanbul, Turkey. European Language Resources Association (ELRA).