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dc.contributor.author蔡而益en_US
dc.contributor.authorTsai, Erh-Ien_US
dc.contributor.author李嘉晃en_US
dc.contributor.authorLee, Chia-Hoangen_US
dc.date.accessioned2014-12-12T01:52:05Z-
dc.date.available2014-12-12T01:52:05Z-
dc.date.issued2010en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079855569en_US
dc.identifier.urihttp://hdl.handle.net/11536/48304-
dc.description.abstract為了能在最短的時間內,得到最多的資訊內容,本論文發展自動摘要系統將這些大量的數位化文件剔除資訊量較低的句子,留下讀者想要吸取到的有用資訊,讓讀者快速且有效地了解這些資訊的內容而不失原意。zh_TW
dc.description.abstractWith the explosion in the amount of information available electronically, information overloading has become a major problem and people have to spend more and more time to look for the information they need. Automatic text summarization has draw much attention in recent years and it exhibits the practicability in document management and search systems.en_US
dc.language.isozh_TWen_US
dc.subject摘要系統zh_TW
dc.subject標題資訊zh_TW
dc.subjectSummarization Systemen_US
dc.subjectTopic-Baseden_US
dc.title多文件摘要系統基於標題資訊zh_TW
dc.titleTopic-Based Multi-Document Summarization Systemen_US
dc.typeThesisen_US
dc.contributor.department資訊科學與工程研究所zh_TW
Appears in Collections:Thesis