Integration of world knowledge for natural language understanding
Author(s)
Bibliographic Information
Integration of world knowledge for natural language understanding
(Atlantis thinking machines / sereis editor, Kai-Uwe Kühnberger, v. 3)
Atlantis, c2012
- : hardback
- : softcover
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
"Softcover reprint of the hardcover 1st edition 2012"--T.p. verso of softcover
Includes bibliographical references (p. 225-239) and index
Description and Table of Contents
Description
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
Preliminaries.- Natural Language Understanding and World Knowledge.- Sources of World Knowledge.- Reasoning for Natural Language Understanding.- Knowledge Base Construction.- Ensuring Consistency.- Abductive Reasoning with the Integrative Knowledge Base.- Evaluation.- Conclusion.
by "Nielsen BookData"