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} } |