A Framework for Text Processing and Supporting Access to Collections of Digitized Historical Newspapers
A Framework for Text Processing and Supporting Access to Collections of Digitized Historical Newspapers
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文本处理和支持访问数字化历史报纸集合的框架
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Ki Jung Lee
中科院分区：
文献类型：
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作者：
R. Allen;Andrea Japzon;Palakorn Achananuparp;Ki Jung Lee
Large quantities of historical newspapers are being digitized and OCRd. We describe a framework for processing the OCRd text to identify articles and extract metadata for them. We describe the article schema and provide examples of features that facilitate automatic indexing of them. For this processing, we employ lexical semantics, structural models, and community content. Furthermore, we describe visualization and summarization techniques that can be used to present the extracted events.
