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Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension / Edition 1
     

Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension / Edition 1

by Lawrence A. Bookman
 

ISBN-10: 0792394879

ISBN-13: 9780792394877

Pub. Date: 09/30/1994

Publisher: Springer US

As any history student will tell you, all events must be understood within their political and sociological context. Yet science provides an interesting counterpoint to this idea, since scientific ideas stand on their own merit, and require no reference to the time and place of their conception beyond perhaps a simple citation. Even so, the historical context of a

Overview

As any history student will tell you, all events must be understood within their political and sociological context. Yet science provides an interesting counterpoint to this idea, since scientific ideas stand on their own merit, and require no reference to the time and place of their conception beyond perhaps a simple citation. Even so, the historical context of a scientific discovery casts a special light on that discovery - a light that motivates the work and explains its significance against a backdrop of related ideas. The book that you hold in your hands is unusually adept at presenting technical ideas in the context of their time. On one level, Larry Bookman has produced a manuscript to satisfy the requirements of a PhD program. If that was all he did, my preface would praise the originality of his ideas and attempt to summarize their significance. But this book is much more than an accomplished disser­ tation about some aspect of natural language - it is also a skillfully crafted tour through a vast body of computational, linguistic, neurophysiological, and psychological research.

Product Details

ISBN-13:
9780792394877
Publisher:
Springer US
Publication date:
09/30/1994
Series:
Springer International Series in Engineering and Computer Science , #286
Edition description:
1994
Pages:
271
Product dimensions:
9.21(w) x 6.14(h) x 0.69(d)

Table of Contents

List of Figures. List of Tables. Foreword. Preface. 1. Introduction. 2. An Overview of Connectionist and Probabilistic Approaches to Language Processing. 3. Memory Architecture. 4. The Basic Computation. 5. Analysis of the Interpretation at the Relational and ASF Level. 6. Reasoning from the Relational Level of the Representation. 7. Experiments in Acquiring Knowledge from On-Line Corpora. 8. An Analysis of the Acquired Knowledge. 9. Conclusions. 10. Future Directions. Appendices: A. The ASFs Used in the LeMICON Experiments. B. A Formal Analysis of the Dynamics. C. Sample Parsed Input to LeMICON. D. Additional Results with SSS. E. Proof of the Boundedness of the Measure I. F. The Dictionary Trees that Describe the Class 'Space'. References. Author Index. Subject Index.

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