Trajectories through Knowledge Space - A Dynamic Framework for Machine Comprehension (Paperback, Softcover reprint of the original 1st ed. 1994)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The Springer International Series in Engineering and Computer Science, 286
Release date:	October 2012
First published:	1994
Authors:	Lawrence A. Bookman
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Paperback
Pages:	271
Edition:	Softcover reprint of the original 1st ed. 1994
ISBN-13:	978-1-4613-6201-2
Categories:	Books > Language & Literature > Language & linguistics > Computational linguistics Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-4613-6201-6
Barcode:	9781461362012

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