A Study on Automatic Extraction of Core Sentences from Document using Word Cooccurrence Graph 


Vol. 7,  No. 11, pp. 3427-3437, Nov.  2000
10.3745/KIPSTE.2000.7.11.3427


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  Abstract

In this paper, we propose a method of core sentences extraction using word co-occurrence graph in order to summarize a document. For automatic extraction of core sentences, we construct a mean cluster from word co-occurrence graph, and find insistence which corresponds a purpose of author. And then we extract keywords by using relationship between mean cluster and insistence. Finally, core sentences are selected based on keywords and instances. The results are evaluated by comparing with manual extraction, and show that the extraction performance is improved about 10%.

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[IEEE Style]

R. Je, K. R. Han, S. W. Sohn, K. W. Rim, "A Study on Automatic Extraction of Core Sentences from Document using Word Cooccurrence Graph," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 11, pp. 3427-3437, 2000. DOI: 10.3745/KIPSTE.2000.7.11.3427.

[ACM Style]

Ryu Je, Kwang Rok Han, Seok Won Sohn, and Kee Wook Rim. 2000. A Study on Automatic Extraction of Core Sentences from Document using Word Cooccurrence Graph. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 11, (2000), 3427-3437. DOI: 10.3745/KIPSTE.2000.7.11.3427.

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