Towards Fast Digestion of IMF Staff Reports with Automated Text Summarization Systems

  • Authors:
  • Shuhua Liu;Johnny Lindroos

  • Affiliations:
  • Academy of Finland and Abo Akademi University, IAMSR, Finland;Academy of Finland and Abo Akademi University, IAMSR, Finland

  • Venue:
  • WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2006

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Abstract

In this paper we present a series of experiments carried out adopting varying summarization schemes for summarizing the IMF staff reports. The summaries produced by the system are evaluated by comparing to the staff-written executive summaries included in the original reports. The results and learned lessons are analyzed and discussed.