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Learning Language in Logic

  • Book
  • © 2000

Overview

Editors:
  1. James Cussens

    1. Department of Computer Science, University of York, Heslington, UK

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  2. Sašo Džeroski

    1. Jožef Stefan Institute, Ljubljana, Slovenia

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    You can also search for this editor in PubMed   Google Scholar

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: LLL 1999.

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Table of contents (18 chapters)

  1. Front Matter

    Pages I-X
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  3. Morphology & Phonology

    1. Learning to Lemmatise Slovene Words

      • Sašo Džeroski, Tomaž Erjavec
      Pages 69-88

    2. Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming

      • Dimitar Kazakov
      Pages 89-109

    3. Learning the Logic of Simple Phonotactics

      • Erik F. Tjong Kim Sang, John Nerbonne
      Pages 110-124

  4. Syntax

    1. Grammar Induction as Substructural Inductive Logic Programming

      • Pieter Adriaans, Erik de Haas
      Pages 127-142

    2. Experiments in Inductive Chart Parsing

      • James Cussens, Stephen Pulman
      Pages 143-156

    3. ILP in Part-of-Speech Tagging — An Overview

      • Martin Eineborg, Nikolaj Lindberg
      Pages 157-169

    4. Iterative Part-of-Speech Tagging

      • Alípio Jorge, Alneu de Andrade Lopes
      Pages 170-183

    5. DCG Induction Using MDL and Parsed Corpora

      • Miles Osborne
      Pages 184-198

    6. Learning Log-Linear Models on Constraint-Based Grammars for Disambiguation

      • Stefan Riezler
      Pages 199-217

    7. Unsupervised Lexical Learning with Categorial Grammars Using the LLL Corpus

      • Stephen Watkinson, Suresh Manandhar
      Pages 218-236

    8. Induction of Recursive Transfer Rules

      • Henrik Boström
      Pages 237-246

    9. Learning for Text Categorization and Information Extraction with ILP

      • Markus Junker, Michael Sintek, Matthias Rinck
      Pages 247-258

    10. Corpus-Based Learning of Semantic Relations by the ILP System, Asium

      • Claire Nedellec
      Pages 259-278

    11. Improving Learning by Choosing Examples Intelligently in Two Natural Language Tasks

      • Cynthia A. Thompson, Mary Elaine Califf
      Pages 279-299

  5. Back Matter

    Pages 301-301
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Computer Science, University of York, Heslington, UK

    James Cussens

  • Jožef Stefan Institute, Ljubljana, Slovenia

    Sašo Džeroski

Bibliographic Information

  • Book Title: Learning Language in Logic

  • Editors: James Cussens, Sašo Džeroski

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-40030-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2000

  • Softcover ISBN: 978-3-540-41145-1Published: 27 September 2000

  • eBook ISBN: 978-3-540-40030-1Published: 31 July 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 306

  • Topics: Artificial Intelligence, Mathematical Logic and Formal Languages

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