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Lexical Semantics and Knowledge Representation

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

  • Conference proceedings
  • © 1992

Overview

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)

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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.

Bibliographic Information

  • Book Title: Lexical Semantics and Knowledge Representation

  • Book Subtitle: First SIGLEX Workshop, Berkeley, CA, USA, June 17, 1991. Proceedings

  • Editors: James Pustejovsky, Sabine Bergler

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-55801-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1992

  • Softcover ISBN: 978-3-540-55801-9Published: 10 September 1992

  • eBook ISBN: 978-3-540-47288-9Published: 30 June 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 388

  • Topics: Artificial Intelligence

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