Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing

Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
Author :
Publisher : Springer Science & Business Media
Total Pages : 490
Release :
ISBN-10 : 3540609253
ISBN-13 : 9783540609254
Rating : 4/5 (53 Downloads)

Book Synopsis Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing by : Stefan Wermter

Download or read book Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing written by Stefan Wermter and published by Springer Science & Business Media. This book was released on 1996-03-15 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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