
Semantic Structures (RLE Linguistics B: Grammar)
Advances in Natural Language Processing
David L. Waltz(Editor)
Routledge (Publisher)
1st Edition
Published on 21. December 2015
Book
Paperback/Softback
248 pages
978-1-138-98163-8 (ISBN)
Description
Natural language understanding is central to the goals of artificial intelligence. Any truly intelligent machine must be capable of carrying on a conversation: dialogue, particularly clarification dialogue, is essential if we are to avoid disasters caused by the misunderstanding of the intelligent interactive systems of the future. This book is an interim report on the grand enterprise of devising a machine that can use natural language as fluently as a human. What has really been achieved since this goal was first formulated in Turing's famous test? What obstacles still need to be overcome?
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 14 mm
Weight
383 gr
ISBN-13
978-1-138-98163-8 (9781138981638)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

David L. Waltz
Semantic Structures (RLE Linguistics B: Grammar)
Advances in Natural Language Processing
E-Book
02/2014
1st Edition
Routledge
€64.49
Available for download

David L. Waltz
Semantic Structures (RLE Linguistics B: Grammar)
Advances in Natural Language Processing
E-Book
02/2014
1st Edition
Routledge
€64.49
Available for download

David L. Waltz
Semantic Structures (RLE Linguistics B: Grammar)
Advances in Natural Language Processing
Book
11/2013
1st Edition
Routledge
€206.40
Shipment within 15-20 days
Person
David L. Waltz
Content
1. Knowledge Interactions and Integrated Parsing for Narrative Comprehension Michael G. Dyer 1.1. Introduction 1.2. Foundations in Comprehension 1.3. Multiple Knowledge Sources in BORIS 1.4. Generalizing Scripts with Multiple Perspectives 1.5. Processes of Comprehension 1.6. Memory Modification During Question Answering 1.7. Theory of Affect 1.8. Thematic Abstraction Units 1.9. Future Research 1.10. Conclusions 2. Event Concept Coherence Richard Alterman 2.1. Introduction 2.2. How NEXUS Works 2.3. In the Context of Some Other Representation Schemes 2.4. Summary and Conclusions 3. Learning Word Meanings From Examples Robert C. Berwick 3.1. Introduction 3.2. The Acquisition Procedure 3.3. Implementation and Examples 3.4. Learning Nouns and Class Hierarchies 3.5. Conclusions 4. An Introduction to Plot Units Wendy G. Lehnert and Cynthia L. Loiselle 4.1. Understanding and Representation 4.2. The Plot Unit Representational System 4.3. Summarization from Plot Units 4.4. Evidence for the Psychological Validity of Plot Units 4.5. An Overall View 5. Natural Language Description of Time-Varying Scenes Bernd Neumann 5.1. Overview 5.2. Representing the Scheme 5.3. Events 5.4. Verbalization 5.5. Composing a Description 5.6. Discussion