Authors
Rada Mihalcea, Paul Tarau
Publication date
2004/7
Conference
Proceedings of the 2004 conference on empirical methods in natural language processing
Pages
404-411
Description
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.
Total citations
Scholar articles
R Mihalcea, P Tarau - Proceedings of the 2004 conference on empirical …, 2004