Table of contents

  1. Front Matter
  2. Stefan Wermter, Ellen Riloff, Gabriele Scheler
    Pages 1-16
  3. Noel E. Sharkey, Amanda J. C. Sharkey
    Pages 17-32
  4. Ross Hayward, Alan Tickle, Joachim Diederich
    Pages 48-60
  5. Werner Winiwarter, Erich Schweighofer, Dieter Merkl
    Pages 75-86
  6. Volker Weber, Stefan Wermter
    Pages 87-101
  7. P. Geutner, B. Suhm, F. -D. Buø, T. Kemp, L. Mayfield, A. E. McNair et al.
    Pages 117-131
  8. Tony C. Smith, Ian H. Witten
    Pages 132-145
  9. Murat Ersan, Eugene Charniak
    Pages 146-159
  10. Wide R. Hogenhout, Yuji Matsumoto
    Pages 160-172
  11. Eva Wai-man Fong, Dekai Wu
    Pages 173-187
  12. Alexander Franz
    Pages 188-202
  13. Marion Mast, Heinrich Niemann, Elmar Nöth, Ernst Günter Schukat-Talamazzini
    Pages 217-229
  14. Sean P. Engelson, Ido Dagan
    Pages 230-245

Other volumes

  1. Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
  2. IJCAI'95 Workshop Montréal, Canada, August 21, 1995 Proceedings

About these proceedings


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.


Algorithmisches Lernen Computational Learning Grammatical Inferenz Grammatische Inferenz Learning Algorithms Lern-Algorithmen Maschinelles Lernen Natural Language Procerssing artificial intelligence cognition genetic algorithms intelligence learning machine learning machine translation

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
  • Series Abbreviated Title Lect Notes Comput Sci
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1996
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-540-60925-4
  • eBook ISBN 978-3-540-49738-7
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages X, 474
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Natural Language Processing (NLP)
    Artificial Intelligence
    User Interfaces and Human Computer Interaction
  • Buy this book on publisher's site
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