Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization

This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We evaluate the method in the context of a text summarization task, and show that the results obtained compare favorably with previously published results on established benchmarks.

• Publication year

  2004

• Venue

  Annual Meeting of the Association for Computational Linguistics

• Publication date

  2004-07-21

• Fields of study

  Computer Science

• Identifiers
  DOI 10.3115/1219044.1219064
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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