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ACL
2007

Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data

9 years 1 months ago
Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be included in a queryfocused summary. Several SVMs are trained using information from pyramids of summary content units. Their performance is compared with the best performing systems in DUC-2005, using both ROUGE and autoPan, an automatic scoring method for pyramid evaluation.
María Fuentes Fort, Enrique Alfonseca, Hora
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ACL
Authors María Fuentes Fort, Enrique Alfonseca, Horacio Rodríguez
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