Title | ||
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A framework for text processing and supporting access to collections of digitized historical newspapers |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/978-3-540-73354-6_26 | HCI (9) |
Keywords | Field | DocType |
structural model,ocrd text,large quantity,digitized historical newspaper,summarization technique,text processing,automatic indexing,community content,historical newspaper,lexical semantics,article schema | Metadata,Automatic summarization,Digitization,Information retrieval,Lexical semantics,Visualization,Computer science,Artificial intelligence,Natural language processing,Digital library,Automatic indexing,Text processing | Conference |
Volume | ISSN | Citations |
4558 | 0302-9743 | 8 |
PageRank | References | Authors |
1.03 | 19 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Robert B. Allen | 1 | 2030 | 338.48 |
Andrea Japzon | 2 | 39 | 3.17 |
Palakorn Achananuparp | 3 | 302 | 23.16 |
Ki Jung Lee | 4 | 11 | 2.44 |