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
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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"
