Support vector machines for query-focused summarization trained and evaluated on pyramid data

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Title:	Support vector machines for query-focused summarization trained and evaluated on pyramid data
Author:	Fuentes Fort, Maria; Alfonseca, Enrique; Rodríguez Hontoria, Horacio
Other authors:	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
Abstract:	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.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural -Multi-document summarization -Support vector machines -Resums -- Metodologia
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Document type:	Article - Published version Conference Object
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