Using Semantic Graphs and Word Sense Disambiguation Techniques to Improve Text Summarization

  1. Plaza Morales, Laura
  2. Díaz Esteban, Alberto
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2011

Número: 47

Páginas: 97-105

Tipo: Artículo

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

En este trabajo se presenta un método para la generación automática de resúmenes basado en grafos semánticos. El sistema utiliza conceptos y relaciones de WordNet para construir un grafo que representa el documento, así como un algoritmo de clustering basado en la conectividad para descubrir los distintos temas tratados en él. La selección de oraciones para el resumen se realiza en función de la presencia en las oraciones de los conceptos más representativos del documento. Los experimentos realizados demuestran que el enfoque propuesto obtiene resultados significativamente mejores que otros sistemas evaluados bajo las mismas condiciones experimentales. Asimismo, el sistema puede ser fácilmente adaptado para trabajar con documentos de diferentes dominios, sin más que modificar la base de conocimiento y el método para identificar conceptos en el texto. Finalmente, este trabajo también estudia el efecto de la ambigüedad léxica en la generación de resúmenes.

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