A cue-based hub-authority approach for multi-document text summarization

@article{Zhang2005ACH,
  title={A cue-based hub-authority approach for multi-document text summarization},
  author={Junlin Zhang and Le Sun and Quan Zhou},
  journal={2005 International Conference on Natural Language Processing and Knowledge Engineering},
  year={2005},
  pages={642-645}
}
Multi-document extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Although some research has introduced the graph-based ranking algorithms such as PageRank and HITS into the text summarization, we propose a new approach under the hub-authority framework in this paper. Our approach combines the text content with some cues such as "cue phrase", "sentence length" and "first sentence" and explores the sub-topics in the multi… CONTINUE READING

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