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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/68758

    Title: 應用語句字詞關係於 多文件自動摘要之方法;Applying relevance terms of sentences on multiple documents summarization 指
    Authors: 黃家榛;Huang,Chia-Chen
    Contributors: 資訊管理學系
    Keywords: 多文件摘要;摘錄式摘要;關聯規則
    Date: 2015-07-21
    Issue Date: 2015-09-23 14:24:40 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 在網路的發達的時代,新聞資訊不斷地在網路世界中擴張散播,過多的新聞使我們
    用DUC 2004 新聞文件集進行DUC 2004 task2 之實驗,作出665 bytes 之摘要,經過
    ROUGE 評估摘要品質,本研究所提之方法能有改善多文件自動摘要之潛能。;With the quick development of the internet, the news spread worldwide in minutes, the
    presence of too much information make us hard to understand the issue and spend too much
    time on reading the news to get what we want. Therefore, in this research, we aim to produce
    an extract-based summary to provide readers a quick review of the news. In the research, we
    attempt to use association rule to extract the relevance terms of sentences and apply it on
    documents summarization. In the experiments, the results show that applying relevance terms
    of sentences on multiple documents summarization could be effective in improving the
    precision of summarization.
    Appears in Collections:[資訊管理研究所] 博碩士論文

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