Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing (Paperback, 1996 ed.)

This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995.
Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Artificial Intelligence, 1040
Release date:	March 1996
First published:	1996
Editors:	Stefan Wermter • Ellen Riloff • Gabriele Scheler
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Paperback
Pages:	474
Edition:	1996 ed.
ISBN-13:	978-3-540-60925-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN:	3-540-60925-3
Barcode:	9783540609254

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