Towards a methodology for automatic identification of hypernyms in the definitions of large-scale dictionary

Inga Gheorghita, Jean-Marie Pierrel


Abstract
The purpose of this paper is to identify automatically hypernyms for dictionary entries by exploring their definitions. In order to do this, we propose a weighting methodology that lets us assign to each lexeme a weight in a definition. This fact allows us to predict that lexemes with the highest weight are the closest hypernyms of the defined lexeme in the dictionary. The extracted semantic relation “is-a” is used for the automatic construction of a thesaurus for image indexing and retrieval. We conclude the paper by showing some experimental results to validate our method and by presenting our methodology of automatic thesaurus construction.
Anthology ID:
L12-1297
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2614–2618
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/531_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Inga Gheorghita and Jean-Marie Pierrel. 2012. Towards a methodology for automatic identification of hypernyms in the definitions of large-scale dictionary. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 2614–2618, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Towards a methodology for automatic identification of hypernyms in the definitions of large-scale dictionary (Gheorghita & Pierrel, LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/531_Paper.pdf