{
"item_title" : "Modeling, Learning, and Processing of Text-Technological Data Structures",
"item_author" : [" Alexander Mehler", "Kai-Uwe Kühnberger", "Henning Lobin "],
"item_description" : "Part I Text Parsing: Data Structures, Architecture and Evaluation.- Part II Measuring Semantic Distance: Methods, Resources, and Applications.- Part III From Textual Data to Ontologies, from Ontologies to Textual Data.- Part IV Multidimensional Representations: Solutions for Complex Markup.- Part V Document Structure Learning.- Part VI Interfacing Textual Data, Ontological Resources and Document Parsing.",
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Modeling, Learning, and Processing of Text-Technological Data Structures
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Overview
Part I Text Parsing: Data Structures, Architecture and Evaluation.- Part II Measuring Semantic Distance: Methods, Resources, and Applications.- Part III From Textual Data to Ontologies, from Ontologies to Textual Data.- Part IV Multidimensional Representations: Solutions for Complex Markup.- Part V Document Structure Learning.- Part VI Interfacing Textual Data, Ontological Resources and Document Parsing.
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Details
- ISBN-13: 9783642269448
- ISBN-10: 3642269443
- Publisher: Springer
- Publish Date: November 2013
- Dimensions: 9.21 x 6.14 x 0.85 inches
- Shipping Weight: 1.28 pounds
- Page Count: 400
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