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

ACL ID P07-2015
Title Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2007
Authors

This paper presents the use of Support Vector Machines (SVM) to detect rele- vant information to be included in a query- focused summary. Several SVMs are trained using information from pyramids of summary content units. Their per- formance is compared with the best per- forming systems in DUC-2005, using both ROUGE and autoPan, an automatic scor- ing method for pyramid evaluation.