Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1040)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: IJCAI 1995.
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About this book
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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Table of contents (33 papers)
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Bibliographic Information
Book Title: Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
Editors: Stefan Wermter, Ellen Riloff, Gabriele Scheler
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-60925-3
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1996
Softcover ISBN: 978-3-540-60925-4Published: 15 March 1996
eBook ISBN: 978-3-540-49738-7Published: 07 July 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 474
Topics: Natural Language Processing (NLP), Artificial Intelligence, User Interfaces and Human Computer Interaction