Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database

Paula Cristina Vaz, David Martins de Matos, Nuno J. Mamede


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.
Anthology ID:
L08-1552
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/627_paper.pdf
DOI:
Bibkey:
Cite (ACL):
Paula Cristina Vaz, David Martins de Matos, and Nuno J. Mamede. 2008. Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database (Vaz et al., LREC 2008)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/627_paper.pdf