A Theory of Granularity and its Application to Problems of Polysemy and Underspecification of Meaning

Abstract

Communication using natural language is remarkably exE;fficient, by allowing reuse(through the use of generative devices) of a finite vocabulary to describe a potentially in-finite set of situations. This vocabulary reuse contributes to words having many related senses (polysemy). Further, meanings can be relatively vague or precise; in other words, varying in their degree of specification of meaning. I suggest that these problems can be addressed by developing a knowledge rep-resentation which makes explicit the notion of granularity. As the grain size changes, we may fold certain distinctions, or split meanings more finely. In this paper, I formalize a theory of granularity and demonstrate how it can be applied to problems of meaning rep-resentation. Such a theory requires a world model which provides a rich sortal differentiation of entities based on the distinctions made by natural language, including the rep-resentation of meronymic structure and reification.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1997
Accession Number
AD1108107

Entities

People

  • Inderjeet Mani

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Ambiguity
  • Application Software
  • Artificial Intelligence
  • Cognitive Science
  • Construction
  • Formal Languages
  • Grain Size
  • Grammars
  • Intervals
  • Language
  • Linguistics
  • Machine Translation
  • Natural Language Computing
  • Natural Language Processing
  • Natural Languages
  • Ontologies
  • Reasoning
  • Semantics
  • Simulations
  • Time Intervals
  • Vocabulary

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Linguistics