2004 TextRank

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Subject Headings TextRank Algorithm.

Notes

  • It proposes a graph-based ranking algorithm that ranks keyphrases in an unsupervised way according to concurrences links between words. (Tozur & Rappoport, 2009)

Cited By

2006

Quotes

Abstract

In this paper, we introduce TextRank - a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications. In particular, we propose two innovative unsupervised methods for keyword and sentence extraction, and show that the results obtained compare favorably with previously published results on established benchmarks.


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2004 TextRankRada Mihalcea
Paul Tarau
TextRank: Bringing Order into Textshttp://acl.ldc.upenn.edu/acl2004/emnlp/pdf/Mihalcea.pdf