This paper presents an innovative unsupervised method for automatic sentence extraction using graphbased 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.
It has shown that PageRank provided great performance during unsupervised sentence extraction in the context of text summarization task REF .
Graph-Based Ranking Algorithms For Sentence Extraction, Applied To Text Summarization
Annual Meeting Of The Association For Computational Linguistics - Interactive Poster And Demonstration Sessions
Computer Science