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Studies in Computational Intelligence

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

Editors: Mehler, A., Kühnberger, K.-U., Lobin, H., Lüngen, H., Storrer, A., Witt, A. (Eds.)

  • Focuses on procedural aspects of automatic text analysis 
  • Integrates research in the upcoming and challenging text related disciplines. Such as computational linguistics, natural language processing, information retrieval, text and web mining as well as text and language technology
  • Integrates a broad range of methods from text-technology, computational linguistics and machine learning
  • Special emphasis is put on structure learning. Going beyond classical content-related text representation models in information retrieval and computational linguistics
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eBook $189.00
price for USA (gross)
  • ISBN 978-3-642-22613-7
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  • Immediate eBook download after purchase
Hardcover $239.00
price for USA
  • ISBN 978-3-642-22612-0
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  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
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  • ISBN 978-3-642-26944-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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About this book

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.

Table of contents (18 chapters)

  • Introduction: Modeling, Learning and Processing of Text-Technological Data Structures

    Mehler, Alexander (et al.)

    Pages 1-11

  • The MOTS Workbench

    Stede, Manfred (et al.)

    Pages 15-34

  • Processing Text-Technological Resources in Discourse Parsing

    Lobin, Henning (et al.)

    Pages 35-58

  • Semantic Distance Measures with Distributional Profiles of Coarse-Grained Concepts

    Hirst, Graeme (et al.)

    Pages 61-79

  • Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools

    Nikolova, Sonya (et al.)

    Pages 81-93

Buy this book

eBook $189.00
price for USA (gross)
  • ISBN 978-3-642-22613-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $239.00
price for USA
  • ISBN 978-3-642-22612-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
price for USA
  • ISBN 978-3-642-26944-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Modeling, Learning, and Processing of Text-Technological Data Structures
Editors
  • Alexander Mehler
  • Kai-Uwe Kühnberger
  • Henning Lobin
  • Harald Lüngen
  • Angelika Storrer
  • Andreas Witt
Series Title
Studies in Computational Intelligence
Series Volume
370
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-22613-7
DOI
10.1007/978-3-642-22613-7
Hardcover ISBN
978-3-642-22612-0
Softcover ISBN
978-3-642-26944-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVI, 400
Topics