Modeling, Learning, and Processing of Text-Technological Data Structures

Modeling, Learning, and Processing of Text-Technological Data Structures

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Springer, Berlin
EAN: 9783642269448
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Detailed information

Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book “Modelling, Learning and Processing of Text-Technological Data Structures” deals with this challenging information unit. It focuses on theoretical foundations of representing natural language texts as well as on concrete operations of automatic text processing. Following this integrated approach, the present volume includes contributions to a wide range of topics in the context of processing of textual data. This relates to the learning of ontologies from natural language texts, the annotation and automatic parsing of texts as well as the detection and tracking of topics in texts and hypertexts. In this way, the book brings together a wide range of approaches to procedural aspects of text technology as an emerging scientific discipline.

EAN 9783642269448
ISBN 3642269443
Binding Paperback / softback
Publisher Springer, Berlin
Publication date November 27, 2013
Pages 400
Language English
Dimensions 235 x 155
Country Germany
Readership Professional & Scholarly
Illustrations XVI, 400 p.
Editors Kühnberger, Kai-Uwe; Lobin Henning; Lüngen, Harald; Mehler Alexander; Storrer Angelika; Witt Andreas
Edition 2012 ed.
Series Studies in Computational Intelligence
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