Summary of the paper

Title Towards a methodology for automatic identification of hypernyms in the definitions of large-scale dictionary
Authors Inga Gheorghita and 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.
Topics Knowledge Discovery/Representation, Evaluation methodologies, Ontologies
Full paper Towards a methodology for automatic identification of hypernyms in the definitions of large-scale dictionary
Bibtex @InProceedings{GHEORGHITA12.531,
  author = {Inga Gheorghita and Jean-Marie Pierrel},
  title = {Towards a methodology for automatic identification of hypernyms in the definitions of large-scale dictionary},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
 }
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