Language independent extractive summarization

  • Authors:
  • Rada Mihalcea

  • Affiliations:
  • University of North Texas

  • Venue:
  • ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
  • Year:
  • 2005

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Abstract

We demonstrate TextRank -- a system for unsupervised extractive summarization that relies on the application of iterative graph-based ranking algorithms to graphs encoding the cohesive structure of a text. An important characteristic of the system is that it does not rely on any language-specific knowledge resources or any manually constructed training data, and thus it is highly portable to new languages or domains.