Atlantis Thinking Machines

Integration of World Knowledge for Natural Language Understanding

Authors: Ovchinnikova, Ekaterina

  • The detailed introduction to computational natural language understanding (NLU) helps the reader to obtain background knowledge necessary to perform practical NLU
  • The chapter on knowledge base construction shows how to obtain structured knowledge applicable to practical NLU from existing freely available knowledge resources
  • Includes a new algorithm for debugging inconsistent ontologies and a new methodology for ensuring conceptual consistency
  • Shows how heterogeneous knowledge can be employed in one single reasoning pipeline
  • Suggests practical application scenarios of the proposed approach
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eBook $109.00
price for USA (gross)
  • ISBN 978-94-91216-53-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-94-91216-52-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-94-6239-039-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications. First, an introduction to research areas relevant for NLU is given. We review approaches to linguistic meaning, explore knowledge resources, describe semantic parsers, and compare two main forms of inference: deduction and abduction. In the main part of the book, we propose an integrative knowledge base combining lexical-semantic, ontological, and distributional knowledge. A particular attention is payed to ensuring its consistency. We then design a reasoning procedure able to make use of the large scale knowledge base. We experiment both with a deduction-based NLU system and with an abductive reasoner. For evaluation, we use three different NLU tasks: recognizing textual entailment, semantic role labeling, and interpretation of noun dependencies.

Table of contents (9 chapters)

  • Preliminaries

    Ovchinnikova, Ekaterina

    Pages 1-14

  • Natural Language Understanding and World Knowledge

    Ovchinnikova, Ekaterina

    Pages 15-37

  • Sources of World Knowledge

    Ovchinnikova, Ekaterina

    Pages 39-71

  • Reasoning for Natural Language Understanding

    Ovchinnikova, Ekaterina

    Pages 73-92

  • Knowledge Base Construction

    Ovchinnikova, Ekaterina

    Pages 93-122

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-94-91216-53-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-94-91216-52-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-94-6239-039-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Integration of World Knowledge for Natural Language Understanding
Authors
Series Title
Atlantis Thinking Machines
Series Volume
3
Copyright
2012
Publisher
Atlantis Press
Copyright Holder
Atlantis Press
eBook ISBN
978-94-91216-53-4
DOI
10.2991/978-94-91216-53-4
Hardcover ISBN
978-94-91216-52-7
Softcover ISBN
978-94-6239-039-3
Series ISSN
1877-3273
Edition Number
1
Number of Pages
XVII, 242
Number of Illustrations and Tables
14 b/w illustrations, 2 illustrations in colour
Topics