Una Revisión de la generación automática de resúmenes extractivos

  • Martha Eliana Mendoza-Becerra Universidad del Cauca
  • Elizabeth Leon-Guzmán Universidad Nacional de Colombia


Las investigaciones en el área de generación automática de resúmenes de textos se han intensifcado en los últimos años debido a la gran cantidad de información disponible en documentos electrónicos. Este artículo presenta los métodos más relevantes de generación automática de resúmenes extractivos que se han desarrollado tanto para un solo documento como para múltiples documentos, haciendo especial énfasis en los métodos basados en reducción algebraica, en agrupamiento y en modelos evolutivos, de los cuales existe gran cantidad de investigaciones en los últimos años, dado que son métodos independientes del lenguaje y no supervisados.


Palabras clave: Generación automática de resúmenes de textos, reducción algebraica, agrupamiento, modelos evolutivos


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Biografía del autor

Martha Eliana Mendoza-Becerra, Universidad del Cauca

Ingeniera de Sistemas, Magíster en Informática, Dra. (c) en Ingeniería de Sistemas y Computación, Profesora Titular, Departamento de Sistemas, Facultad de Ingeniería Electrónica y Telecomunicaciones, Miembro del Grupo de I+D en Tecnologías de la Información.

Elizabeth Leon-Guzmán, Universidad Nacional de Colombia

Ingeniera de Sistemas, Magister en Ingeniería de Sistemas, Dra. en Ciencias de la computación e Ingeniería Informática, Profesora Asistente, Departamento de Ingeniería de Sistemas e Industrial, Facultad de Ingeniería, Directora del Grupo de Investigación en Minería de Datos.


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