政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/15006
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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/15006


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/15006


    题名: Extracting Structured Subject Information from Digital Document Archives
    作者: 劉吉軒;Ching-Ying Lee
    关键词: information extraction, digital document archives, value-added services.
    日期: 2006-11
    上传时间: 2008-12-16 16:46:09 (UTC+8)
    摘要: Information extraction (IE) techniques are capable of decoding targeted subject information in documents, and reducing text data into a set of structured core information. The implication for digital libraries is that IE potentially serves as an enabling tool to extend the value of digital document archives. We present an approach, called sandwich extraction pattern, to address the closely coupled template relation tasks. The approach provides interactive capabilities for task specification, domain knowledge acquisition, and output evaluation. This allows users (e.g. librarians) to have direct control on the design of value-added content products and the performance of IE tools. We conducted empirical validation by implementing an IE system, called SEP, and field testing it in a practical document archive. Encouraged by successful test runs, NCCU library has formally initiated a project to develop a value-added content product of government personnel gazettes, including document images, electronic texts, and personnel changes database.
    關聯: Lecture Notes in Computer Science, 4312, 141-150
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1007/11931584_17
    DOI: 10.1007/11931584_17
    显示于类别:[資訊科學系] 期刊論文

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