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    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/39686


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    題名: Ontology-based text summarization for business news articles
    作者: 劉昭麟
    Wu, Chia-wei;Liu, Chao-lin
    貢獻者: 國立政治大學資訊科學系
    關鍵詞: Ontology-based text summarization;business news articles
    日期: 2003-03
    上傳時間: 2010-05-27 16:48:33 (UTC+8)
    摘要: In this paper, we compare two methods for article summarization. The first method is mainly based on term-frequency, while the second method is based on ontology. We build an ontology database for analyzing the main topics of the article. After identifying the main topics and determining their relative significance, we rank the paragraphs based on the relevance between main topics and each individual paragraph. Depending on the ranks, we choose desired proportion of para- graphs as summary. Experimental results indicate that both methods offer similar accuracy in their selections of the paragraphs.
    關聯: Proceedings of the ISCA Eighteenth International Conference on Computers and Their Applications
    資料類型: conference
    顯示於類別:[資訊科學系] 會議論文

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