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.
