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

Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
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474
By:"Stefan Wermter","Ellen Riloff","Gabriele Scheler"
"Computers"
Published on 1996-03-15 by Springer Science & Business Media

S. Muggleton, R. King, and M. Sternberg. ... J. M. Zelle. Using Inductive Logic \u003cbr\u003e\nProgramming to Automate the Construction of Natural Language Parsers. ... \u003cb\u003eJohn\u003c/b\u003e \u003cbr\u003e\n\u003cb\u003eM\u003c/b\u003e. \u003cb\u003eZelle\u003c/b\u003e, Cynthia A. Thompson, Mary Elaine Califf, and Raymond J. Mooney.

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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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