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Korean Summarization System using Automatic Paragraphing  

김계성 (경일대학교 교양학부)
이현주 (경북대학교 컴퓨터공학과)
이상조 (경북대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Software and Applications / v.30, no.7_8, 2003 , pp. 681-686 More about this Journal
Abstract
In this paper, we describes a system that extracts important sentences from Korean newspaper articles using automatic paragraphing. First, we detect repeated words between sentences. Through observation of the repeated words, this system compute Closeness Degree between Sentences(CDS ) from the degree of morphological agreement and the change of grammatical role. And then, it automatically divides a document into meaningful paragraphs using the number of paragraph defined by the user´s need. Finally. it selects one representative sentence from each paragraph and it generates summary using representative sentences. Though our system doesn´t utilize some features such as title, sentence position, rhetorical structure, etc., it is able to extract meaningful sentences to be included in the summary.
Keywords
Closeness Degree between Sentences(CDS ); Automatic Paragraphing; Text Summarization; Sentence Extraction;
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