Resúmenes de textos: nuevos retos en la Web 2.0

• Autores: Elena Lloret Pastor , Manuel Palomar Sanz
• Localización: Subjetividad y Procesos Cognitivos, ISSN-e 1666-244X, Vol. 14, Nº. 2, 2010 (Ejemplar dedicado a: Herramientas informáticas y análisis del discurso), págs. 113-126
• Idioma: español
• Títulos paralelos:
  • Text summaries: new challenges in Web 2.0
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• Resumen
  • español

    Este artículo presenta un estudio preliminar de los fenómenos presentes en la Web 2.0, concretamente en blogs y cómo se reflejan en los correspondientes resúmenes generados. El principal objetivo es cuantificar en qué medida dichos fenómenos están presentes tanto en los blogs como en los resúmenes. La presencia de estos fenómenos en los resúmenes tiene como consecuencia directa la disminución de la calidad de estos, en criterios como la corrección gramatical o la coherencia de los resúmenes. Los resultados preliminares obtenidos muestran que los nuevos géneros textuales derivados de la Web 2.0 contienen un alto número de rasgos lingüísticos típicos que es necesario tratar con métodos y herramientas adecuadas para que dichos rasgos no se propaguen a otras tareas del Procesamiento del Lenguaje Natural, en concreto, en este estudio, a los resúmenes de textos. Además, se proponen posibles soluciones para abordar el problema, con la finalidad de ayudar a que la calidad de los resúmenes no se vea afectada debido a la presencia de estos fenómenos.

  • English

    This article presents a preliminary study of the phenomena present in Web 2.0, specifically in blogs and how they are reflected in the corresponding generated summaries. The main objective is to provide a measure of the occurrence of these phenomena in both blogs and summaries. The presence of these phenomena in the summaries has as a direct consequence in their diminishing quality in terms of grammar accuracy or coherence. Preliminary results obtained show that the new text genres derived from Web 2.0 contain a great quantity of linguistic typical traits which need to be tackled with appropriate tools for these traits not to propagate to other tasks of Natural Language Processing, in particular, in this study, to the text summaries. In addition, possible solutions to address the problem are proposed, in order that the quality of the summaries might remain unaffected by the occurrence of these phenomena.

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