A Supervised Central Unit Detector for Spanish

  1. Kepa Bengoetxea
  2. Mikel Iruskieta
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2018

Número: 60

Páginas: 29-36

Tipo: Artículo

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

En este artículo presentamos el primer detector de la Unidad Central (CU) de resúmenes científicos en castellano basado en técnicas de aprendizaje automático. Para ello, nos hemos basado en la anotación del Spanish RST Treebank anotado bajo la Teoría de la Estructura Retórica o Rhetorical Structure Theory (RST). El método empleado para detectar la unidad central es el modelo de bolsa de palabras utilizando clasificadores como Naive Bayes y SVM. Finalmente, evaluamos el rendimiento de los clasificadores y hemos creado el detector de CUs usando el mejor clasificador.

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Fuente de los datos: Dialnet