Experiments on statistical and pattern-based biographical summarization

  • Authors:
  • Horacio Saggion;Robert Gaizauskas

  • Affiliations:
  • Department of Computer Science, University of Sheffield, Sheffield, United Kingdom;Department of Computer Science, University of Sheffield, Sheffield, United Kingdom

  • Venue:
  • EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
  • Year:
  • 2005

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Abstract

We describe experiments on content selection for producing biographical summaries from multiple documents. The method relies on a set of patterns to identify descriptive phrases, an available co-reference resolution algorithm, and a greedy, corpus-based sentence deletion procedure for document compression. We show that in an automatic evaluation of content using ROUGE, the proposed method obtains very good performance.