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Lexical Semantics and Knowledge Representation

First SIGLEX Workshop, Berkeley, CA, USA, June 17, 1991. Proceedings

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. James Pustejovsky
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  2. Sabine Bergler
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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 627)

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

Included in the following conference series:

Conference proceedings info: SIGLEX 1991.

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Table of contents (22 papers)

  1. Front Matter

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  2. Introduction

    • James Pustejovsky
    Pages 1-4

  3. Syntax-driven and ontology-driven lexical semantics

    • Sergei Nirenburg, Lori Levin
    Pages 5-20

  4. Knowledge management for terminology-intensive applications: Needs and tools

    • Ingrid Meyer
    Pages 21-37

  5. Logical structures in the lexicon

    • John F. Sowa
    Pages 39-60

  6. Conventional metaphor and the lexicon

    • James H. Martin
    Pages 61-73

  7. Representation of semantic knowledge with term subsumption languages

    • Gerrit Burkert, Peter Forster
    Pages 75-85

  8. Predictable meaning shift: Some linguistic properties of Lexical Implication Rules

    • Nicholas Ostler, B. T. S. Atkins
    Pages 87-100

  9. Lexical operations in a unification-based framework

    • Ann Copestake, Ted Briscoe
    Pages 101-119

  10. Lexical structures for linguistic inference

    • Peter Anick, Sabine Bergler
    Pages 121-135

  11. In so many words: Knowledge as a lexical phenomenon

    • Willem Meijs, Piek Vossen
    Pages 137-153

  12. Redefining the “level” of the “word”

    • Melissa Macpherson
    Pages 155-169

  13. Lexical and world knowledge: Theoretical and applied viewpoints

    • John S. White
    Pages 171-183

  14. Aspectual requirements of temporal connectives: Evidence for a two-level approach to semantics

    • Michael Herweg
    Pages 185-200

  15. A model for the interaction of lexical and non-lexical knowledge in the determination of word meaning

    • Peter Gerstl
    Pages 201-218

  16. For the lexicon that has everything

    • Martha Evens, Joanne Dardaine, Yu-Fen Huang, Sun M. Li, Judith Markowitz, Frank Rinaldo et al.
    Pages 219-233

  17. Acquiring and representing semantic information in a lexical knowledge base

    • Nicoletta Calzolari
    Pages 235-243

  18. General lexical representation for an effect predicate

    • Martha Palmer
    Pages 245-253

  19. The autonomy of shallow lexical knowledge

    • Kathleen Dahlgren
    Pages 255-267

  20. A two-level knowledge representation for machine translation: Lexical semantics and tense/aspect

    • Bonnie J. Dorr
    Pages 269-287
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  1. Lexical Semantics and Knowledge Representation

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About this book

Recent work on formal methods in computational lexical semantics has had theeffect of bringing many linguistic formalisms much closer to the knowledge representation languages used in artificial intelligence. Formalisms are now emerging which may be more expressive and formally better understood than many knowledge representation languages. The interests of computational linguists now extend to include such domains as commonsense knowledge, inheritance, default reasoning, collocational relations, and even domain knowledge. With such an extension of the normal purview of "linguistic" knowledge, one may question whether there is any logical justification for distinguishing between lexical semantics and commonsense reasoning. This volume explores the question from several methodologicaland theoretical perspectives. What emerges is a clear consensus that the notion of the lexicon and lexical knowledge assumed in earlier linguistic research is grossly inadequate and fails to address the deeper semantic issues required for natural language analysis.

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