Experiments on term extraction using noun phrase subclassifications

Merley S. Conrado, Walter Koza, Josuka Díaz-Labrador, Joseba Abaitua, Solange O. Rezende, Thiago A.S. Pardo, Zulema Solana

Resultado de la investigación: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

3 Citas (Scopus)


In this paper we describe and compare three approaches for the automatic extraction of medical terms using noun phrases (NPs) previously recognized on medical text corpus in Spanish. In the first approach, as baseline, we extracted all NPs, while for the second and third ones the extraction process is directed to "specific NPs" that are determined on the basis of the syntactic and positional criteria, among others. As contributions (i) we showed that it is possible to extract medical terms using "specific NPs", (ii) new terms were added in the software dictionary, and (iii) terms that were not in the reference lists were extracted. For the third contribution, we used the SNOMED CTR terms lists, aiming at improving the IULA reference lists.

Idioma originalInglés
Páginas (desde-hasta)746-751
Número de páginas6
PublicaciónInternational Conference Recent Advances in Natural Language Processing, RANLP
EstadoPublicada - 2011
Publicado de forma externa
Evento8th International Conference on Recent Advances in Natural Language Processing, RANLP 2011 - Hissar, Bulgaria
Duración: 12 sep. 201114 sep. 2011


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