Ranking text units according to textual saliency, connectivity and topic aptness

  • Authors:
  • Antonio Sanfilippo

  • Affiliations:
  • LINGLINK, Anite Systems, Luxembourg

  • Venue:
  • COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
  • Year:
  • 1998

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Abstract

An efficient use of lexical cohesion is described for ranking text units according to their contribution in defining the meaning of a text (textual saliency), their ability to form a cohesive subtext (textual connectivity) and the extent and effectiveness to which they address the different topics which characterize the subject matter of the text (topic aptness). A specific application is also discussed where the method described is employed to build the indexing component of a summarization system to provide both generic and query-based indicative summaries.