Summary Evaluation with and without References



Título del documento: Summary Evaluation with and without References
Revista: Polibits
Base de datos: PERIÓDICA
Número de sistema: 000358979
ISSN: 1870-9044
Autores: 1
2
2
1
Instituciones: 1Universite d'Avignon, Avignon, Vaucluse. Francia
2Universitat Pompeu Fabra, Barcelona. España
Año:
Periodo: Jul-Dic
Número: 42
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés We study a new content–based method for the evaluation of text summarization systems without human models which is used to produce system rankings. The research is carried out using a new content–based evaluation framework called Fresa to compute a variety of divergences among probability distributions. We apply our comparison framework to various well–established content–based evaluation measures in text summarization such as COVERAGE, RESPONSIVENESS, PYRAMIDS and ROUGE studying their associations in various text summarization tasks including generic multi–document summarization in English and French, focus–based multi–document summarization in English and generic single–document summarization in French and Spanish
Disciplinas: Ciencias de la computación
Palabras clave: Procesamiento de datos,
Tecnología de la información,
Evaluación de contenidos,
Evaluación de resúmenes de textos
Keyword: Computer science,
Data processing,
Information technology,
Content evaluation,
Text summarization evaluation
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