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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/531_Paper.pdf