IJCAI '95 Workshop, Montreal, Canada, August 21, 1995 Proceedings. Editor(s): Wermter, S.; Scheler, G.; Riloff, E. Series: Lecture Notes in Computer Science. Num Pages: 484 pages, black & white illustrations. BIC Classification: UYQL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 24. Weight in Grams: 673. . 1996. Paperback. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Publication Date: 1996
Language: English
ISBN 10: 3540609253
ISBN 13: 9783540609254
Binding: Soft cover
Condition: New

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Synopsis

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.

Synopsis

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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