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Trajectories Through Knowledge Space : A Dynamic Framework for Machine Comprehension :  A Dynamic Framework for Machine Comprehension - Lawrence A. Bookman

Trajectories Through Knowledge Space : A Dynamic Framework for Machine Comprehension

A Dynamic Framework for Machine Comprehension

Hardcover Published: December 2009
ISBN: 9780792394877
Number Of Pages: 271

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Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension provides an overview of many of the main ideas of connectionism (neural networks) and probabilistic natural language processing. Several areas of common overlap between these fields are described in which each community can benefit from the ideas and techniques of the other. The author's perspective on comprehension pulls together the most significant research of the last ten years and illustrates how we can move more forward onto the next level of intelligent text processing systems. A central focus of the book is the development of a framework for comprehension connecting research themes from cognitive psychology, cognitive science, corpus linguistics and artificial intelligence. The book proposes a new architecture for semantic memory, providing a framework for addressing the problem of how to represent background knowledge in a machine. This architectural framework supports a computational model of comprehension. Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension is an excellent reference for researchers and professionals, and may be used as an advanced text for courses on the topic.

List Of Figures
List Of Tables
Foreword
Preface
Introductionp. 1
An Overview of Connectionist and Probabilistic Approaches to Language Processingp. 23
Memory Architecturep. 49
The Basic Computationp. 65
Analysis of the Interpretation at the Relational and ASF Levelp. 99
Reasoning from the Relational Level of the Representationp. 127
Experiments in Acquiring Knowledge from On-line Corporap. 139
An Analysis of the Acquired Knowledgep. 165
Conclusionsp. 191
Future Directionsp. 205
App. A: The ASFs Used in the LeMICON Experimentsp. 211
App. B: A Formal Analysis of the Dynamicsp. 217
App. C: Sample Parsed Input to LeMICONp. 227
App. D: Additional Results with SSSp. 229
App. E: Proof of the Boundedness of the Measure [actual symbol not reproducible]p. 233
App. F: The Dictionary Trees that Describe the Class "Space"p. 235
Referencesp. 237
Author Indexp. 259
Subject Indexp. 265
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792394877
ISBN-10: 0792394879
Series: The Springer International Engineering and Computer Science
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 271
Published: December 2009
Publisher: SPRINGER VERLAG GMBH
Country of Publication: US
Dimensions (cm): 23.39 x 15.6  x 1.75
Weight (kg): 0.59

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