@inproceedings{ohishi-etal-2006-statistical,
title = "Statistical Analysis for Thesaurus Construction using an Encyclopedic Corpus",
author = "Ohishi, Yasunori and
Itou, Katunobu and
Takeda, Kazuya and
Fujii, Atsushi",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Gangemi, Aldo and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Tapias, Daniel",
booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)",
month = may,
year = "2006",
address = "Genoa, Italy",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2006/pdf/88_pdf.pdf",
abstract = "This paper proposes a discrimination method for hierarchical relationsbetween word pairs. The method is a statistical one using an encyclopedic corpus' extracted and organized from Web pages. In the proposed method, we use the statistical naturethat hyponyms' descriptionstend to include hypernyms whereas hypernyms' descriptions do notinclude all of the hyponyms.Experimental results show that the method detected 61.7{\%} of therelations in an actual thesaurus.",
}
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<abstract>This paper proposes a discrimination method for hierarchical relationsbetween word pairs. The method is a statistical one using an encyclopedic corpus’ extracted and organized from Web pages. In the proposed method, we use the statistical naturethat hyponyms’ descriptionstend to include hypernyms whereas hypernyms’ descriptions do notinclude all of the hyponyms.Experimental results show that the method detected 61.7% of therelations in an actual thesaurus.</abstract>
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%0 Conference Proceedings
%T Statistical Analysis for Thesaurus Construction using an Encyclopedic Corpus
%A Ohishi, Yasunori
%A Itou, Katunobu
%A Takeda, Kazuya
%A Fujii, Atsushi
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F ohishi-etal-2006-statistical
%X This paper proposes a discrimination method for hierarchical relationsbetween word pairs. The method is a statistical one using an encyclopedic corpus’ extracted and organized from Web pages. In the proposed method, we use the statistical naturethat hyponyms’ descriptionstend to include hypernyms whereas hypernyms’ descriptions do notinclude all of the hyponyms.Experimental results show that the method detected 61.7% of therelations in an actual thesaurus.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/88_pdf.pdf
Markdown (Informal)
[Statistical Analysis for Thesaurus Construction using an Encyclopedic Corpus](http://www.lrec-conf.org/proceedings/lrec2006/pdf/88_pdf.pdf) (Ohishi et al., LREC 2006)
ACL