TY - JOUR
T1 - Summarization of multiple documents with rhetorical annotation
AU - Aya, Sohei
AU - Matsuo, Yutaka
AU - Okazaki, Naoaki
AU - Hasida, Kôiti
AU - Ishizuka, Mitsuru
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Automatic summarization
KW - Rhetorical structure theory
KW - Semantic authoring
KW - Spreading activation
UR - http://www.scopus.com/inward/record.url?scp=18544385148&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=18544385148&partnerID=8YFLogxK
U2 - 10.1527/tjsai.20.149
DO - 10.1527/tjsai.20.149
M3 - Article
AN - SCOPUS:18544385148
VL - 20
SP - 149
EP - 158
JO - Transactions of the Japanese Society for Artificial Intelligence
JF - Transactions of the Japanese Society for Artificial Intelligence
SN - 1346-0714
IS - 3
ER -