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Learning Language in Logic

  • James Cussens
  • Sašo Džeroski

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1925)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1925)

Table of contents

  1. Front Matter
    Pages I-X
  2. Introductions & Overviews

  3. Morphology & Phonology

    1. Sašo Džeroski, Tomaž Erjavec
      Pages 69-88
    2. Erik F. Tjong Kim Sang, John Nerbonne
      Pages 110-124
  4. Syntax

    1. Pieter Adriaans, Erik de Haas
      Pages 127-142
    2. James Cussens, Stephen Pulman
      Pages 143-156
    3. Martin Eineborg, Nikolaj Lindberg
      Pages 157-169
    4. Alípio Jorge, Alneu de Andrade Lopes
      Pages 170-183
    5. Miles Osborne
      Pages 184-198
    6. Stephen Watkinson, Suresh Manandhar
      Pages 218-236
    7. Henrik Boström
      Pages 237-246
    8. Markus Junker, Michael Sintek, Matthias Rinck
      Pages 247-258
    9. Cynthia A. Thompson, Mary Elaine Califf
      Pages 279-299
  5. Back Matter
    Pages 301-301

About this book

Introduction

This volume has its origins in the ?rst Learning Language in Logic (LLL) wo- shop which took place on 30 June 1999 in Bled, Slovenia immediately after the Ninth International Workshop on Inductive Logic Programming (ILP’99) and the Sixteenth International Conference on Machine Learning (ICML’99). LLL is a research area lying at the intersection of computational linguistics, machine learning, and computational logic. As such it is of interest to all those working in these three ?elds. I am pleased to say that the workshop attracted subm- sions from both the natural language processing (NLP) community and the ILP community, re?ecting the essentially multi-disciplinary nature of LLL. Eric Brill and Ray Mooney were invited speakers at the workshop and their contributions to this volume re?ect the topics of their stimulating invited talks. After the workshop authors were given the opportunity to improve their papers, the results of which are contained here. However, this volume also includes a substantial amount of two sorts of additional material. Firstly, since our central aim is to introduce LLL work to the widest possible audience, two introductory chapters have been written. Dzeroski, ? Cussens and Manandhar provide an - troduction to ILP and LLL and Thompson provides an introduction to NLP.

Keywords

MDL Mathematica Natural Processing Syntax constraint grammar information extraction knowledge learning logic logic programming natural language natural language processing proving

Editors and affiliations

  • James Cussens
    • 1
  • Sašo Džeroski
    • 2
  1. 1.Department of Computer ScienceUniversity of YorkHeslingtonUK
  2. 2.Jožef Stefan InstituteLjubljanaSlovenia

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-40030-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-41145-1
  • Online ISBN 978-3-540-40030-1
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site