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

Authors:
Maria Fuentes;Enrique Alfonseca;Horacio Rodríguez
Affiliations:
Universitat Politècnica de Catalunya;Universidad Autónoma de Madrid;Universitat Politècnica de Catalunya
Venue:
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Year:
2007

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Abstract

This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be included in a query-focused 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.