Summarization of multiple documents with rhetorical annotation

Sohei Aya*, Yutaka Matsuo, Naoaki Okazaki, Kôiti Hasida, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Article査読

抄録

In this paper, we propose a new algorithm of summarization which targets a new kind of structured contents. The structured content, which is to be created by semantic authoring, consists of sentenses and rhetorical relation among sentences: It is represented by a graph, where a node is a sentence and an edge is a rhetorical relation. We simulate creating this content graph by using news paper articles that are annotated rhetorical relations by a GDA tagset. Our summarization method basically uses spreading activation over the content graph, followed by particular postprocesses to increase readability of the resultant summary. Experimental evaluation shows our method is at least equal to or better than Lead method for summarizing news paper articles.

本文言語English
ページ(範囲)149-158
ページ数10
ジャーナルTransactions of the Japanese Society for Artificial Intelligence
20
3
DOI
出版ステータスPublished - 2005
外部発表はい

ASJC Scopus subject areas

  • 人工知能

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