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.
Mihalcea REF proposed an unsupervised method for automatic sentence extraction using graph-based ranking algorithms.
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