Robust generic and query-based summarisation

  • Authors:
  • Horacio Saggion;Kalina Bontcheva;Hamish Cunningham

  • Affiliations:
  • University of Sheffield, Sheffield, England - United Kingdom;University of Sheffield, Sheffield, England - United Kingdom;University of Sheffield, Sheffield, England - United Kingdom

  • Venue:
  • EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
  • Year:
  • 2003

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Abstract

We present a robust summarisation system developed within the GATE architecture that makes use of robust components for semantic tagging and coreference resolution provided by GATE. Our system combines GATE components with well established statistical techniques developed for the purpose of text summarisation research. The system supports "generic" and query-based summarisation addressing the need for user adaptation.