Improving summaries by revising them

  • Authors:
  • Inderjeet Mani;Barbara Gates;Eric Bloedorn

  • Affiliations:
  • The MITRE Corporation, Reston, VA;The MITRE Corporation, Reston, VA;The MITRE Corporation, Reston, VA

  • Venue:
  • ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a program which revises a draft text by aggregating together descriptions of discourse entities, in addition to deleting extraneous information. In contrast to knowledge-rich sentence aggregation approaches explored in the past, this approach exploits statistical parsing and robust coreference detection. In an evaluation involving revision of topic-related summaries using informativeness measures from the TIPSTER SUMMAC evaluation, the results show gains in informativeness without compromising readability.