iSpreadRank: Ranking sentences for extraction-based summarization using feature weight propagation in the sentence similarity network

Abstract

Sentence extraction is a widely adopted text summarization technique where the most important sentences are extracted from document(s) and presented as a summary. The first step towards sentence extraction is to rank sentences in order of importance as in the summary. This paper proposes a novel graph-based ranking method, iSpreadRank, to perform this task… (More)
DOI: 10.1016/j.eswa.2007.08.037

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