Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Atlantis Thinking Machines (ATLANTISTM, volume 3)
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Table of contents (9 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Integration of World Knowledge for Natural Language Understanding
Authors: Ekaterina Ovchinnikova
Series Title: Atlantis Thinking Machines
DOI: https://doi.org/10.2991/978-94-91216-53-4
Publisher: Atlantis Press Paris
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Atlantis Press 2012
Hardcover ISBN: 978-94-91216-52-7Published: 17 February 2012
Softcover ISBN: 978-94-6239-039-3Published: 20 April 2014
eBook ISBN: 978-94-91216-53-4Published: 15 February 2012
Series ISSN: 1877-3273
Series E-ISSN: 1877-3281
Edition Number: 1
Number of Pages: XVII, 242
Number of Illustrations: 14 b/w illustrations, 2 illustrations in colour
Topics: Natural Language Processing (NLP), Artificial Intelligence, Mathematical Logic and Formal Languages, Natural Language Processing (NLP), Artificial Intelligence