Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension (The Springer International Series in Engineering and Computer Science)

Bookman, Lawrence A. A.

ISBN 10: 1461362016 / ISBN 13: 9781461362012

Editore: Springer, 2012

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Dati bibliografici

• Titolo: Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension (The Springer International Series in Engineering and Computer Science)
• Editore: Springer
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461362016
• ISBN 13: 9781461362012
• Rilegatura: Brossura
• Condizione: New

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Riassunto

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.

Contenuti

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.