Topic Themes for Multi-Document Summarization

From HLT@INESC-ID

Bibliographical data

  • Source: SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Pages: 202-209
  • Year: 2005
  • Authors: Sanda Harabagiu and Finley Lacatusu
  • Publisher: ACM

ACM

Abstract

The problem of using topic representations for multi-document summarization (MDS) has received considerable attention recently. In this paper, we describe five different topic representations and introduce a novel representation of topics based on topic themes. We present eight different methods of generating MDS and evaluate each of these methods on a large set of topics used in past DUC workshops. Our evaluation results show a significant improvement in the quality of summaries based on topic themes over MDS methods that use other alternative topic representations.