JOURNAL ARTICLE

Graph-based ranking algorithms for sentence extraction, applied to text summarization

Abstract

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.

Keywords:
Automatic summarization Computer science Sentence Graph Ranking (information retrieval) Artificial intelligence Natural language processing Text graph Task (project management) Context (archaeology) Information retrieval Theoretical computer science

Metrics

472
Cited By
13.90
FWCI (Field Weighted Citation Impact)
11
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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