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dc.contributor.authorNaitou, Kenichi
dc.contributor.authorHerath, Susantha
dc.date.accessioned2009-08-23T04:40:09Z
dc.date.accessioned2020-05-25T06:24:35Z-
dc.date.available2009-08-23T04:40:09Z
dc.date.available2020-05-25T06:24:35Z-
dc.date.issued2006-10-24T04:35:58Z
dc.date.submitted1998-12-17
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2382-
dc.description.abstractExtracting necessary information is hard and time consuming in the information-oriented society. An abstract generation system for newspaper that represents a large volume of information is vital. This paper presents an experimental system devoloped for abstracting newspaper articles on traffic accidents without applying complicated natural language processing techniques. The level of abstraction can be selected by the user. The user saves time significantly by excluding unwanted information in the article.
dc.description.sponsorship成功大學,台南市
dc.format.extent5p.
dc.format.extent361262 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries1998 ICS會議
dc.subject.otherDocument & Language Processing
dc.titleABSTRACT GENERATION FOR NEWSPAPER ARITCLES
分類:1998年 ICS 國際計算機會議

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