Weighted graph model based sentence clustering and ranking for document summarization

@article{Ge2011WeightedGM,
  title={Weighted graph model based sentence clustering and ranking for document summarization},
  author={Shuzhi Sam Ge and Zhengchen Zhang and Hongsheng He},
  journal={The 4th International Conference on Interaction Sciences},
  year={2011},
  pages={90-95}
}
This paper proposes a sentence ranking and clustering based summarization method that extracts essential sentences from a document. To discover central sentences, a weighted undirected graph that takes sentence similarities and the discourse relationship between sentences as the weights of edges is constructed for the given document. A graph-ranking algorithm is implemented to calculate the scores of sentences. We also build a matrix for the document, and an algorithm based on Sparse Non… CONTINUE READING

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