@inproceedings{vaz-etal-2008-using,
title = "Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database",
author = "Vaz, Paula Cristina and
de Matos, David Martins and
Mamede, Nuno J.",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/627_paper.pdf",
abstract = "The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such as semantic relations. Relations are extracted from an annotated and manually corrected corpus. Semantic relations added to the database are retrieved from noun-appositive relations found in the corpus. The method uses clustering to generate labeled sets of words with hypernym relations between set label and set elements.",
}
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<abstract>The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such as semantic relations. Relations are extracted from an annotated and manually corrected corpus. Semantic relations added to the database are retrieved from noun-appositive relations found in the corpus. The method uses clustering to generate labeled sets of words with hypernym relations between set label and set elements.</abstract>
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%0 Conference Proceedings
%T Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database
%A Vaz, Paula Cristina
%A de Matos, David Martins
%A Mamede, Nuno J.
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F vaz-etal-2008-using
%X The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such as semantic relations. Relations are extracted from an annotated and manually corrected corpus. Semantic relations added to the database are retrieved from noun-appositive relations found in the corpus. The method uses clustering to generate labeled sets of words with hypernym relations between set label and set elements.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/627_paper.pdf
Markdown (Informal)
[Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database](http://www.lrec-conf.org/proceedings/lrec2008/pdf/627_paper.pdf) (Vaz et al., LREC 2008)
ACL