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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
  15. Stephen Soderland, David Fisher, Jonathan Aseltine, Wendy Lehnert
    Pages 290-301
  16. Chinatsu Aone, Scott William Bennett
    Pages 302-314
  17. Takefumi Yamazaki, Michael J. Pazzani, Christopher Merz
    Pages 329-342
  18. Isabelle Moulinier, Jean -Gabriel Ganascia
    Pages 343-354
  19. Raymond J. Mooney, Mary Elaine Califf
    Pages 370-384
  20. Stefano Federici, Vito Pirrelli, François Yvon
    Pages 385-398
  21. Miles Osborne
    Pages 399-412
  22. Aravind K. Joshi, B. Srinivas
    Pages 413-424
  23. Shigeo Kaneda, Hussein Almuallim, Yasuhiro Akiba, Megumi Ishii, Tsukasa Kawaoka
    Pages 439-452
  24. Udo Hahn, Manfred Klenner, Klemens Schnattinger
    Pages 453-468
  25. Back Matter

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

Introduction

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.

Keywords

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

  • DOI https://doi.org/10.1007/3-540-60925-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1996
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-60925-4
  • Online ISBN 978-3-540-49738-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site