Document summarisation using combination and reduction of extracted sentences
by Gautam Kumar Parai, Tejaswi Tenneti, Pranip Kumar Borah, Saurav Shah, Sudip Sanyal
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 1, No. 3/4, 2009

Abstract: An ideal summariser should produce a summary which contains all the crucial information present in the original text, while conforming to the size of the summary. We propose a novel method to perform single-document summarisation of the English text. We start by combining semantically related sentences using a rule-based approach to avoid loss of important information and maintain coherence in the resulting summary. The rules for combination rely on surface indicators present in the sentence i.e., cue-phrases. Then we extract important text from the combined sentences using lexical chains. This is followed by a sentence-reduction step involving removal of superfluous phrases from the extracted sentences using a rule-based approach. The rules for sentence pruning use discourse trees generated using the intra-sentential rhetorical relations. The summaries produced by our system were agreed by human subjects to be more concise and coherent than extraction-based summaries for the same documents.

Online publication date: Thu, 27-Aug-2009

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