Representing and Reasoning with Functional Knowledge for Spatial Language Understanding

Abstract

One of the central problems in spatial language understanding is the polysemy and the vagueness of spatial terms, which cannot be resolved by lexical knowledge alone. We address this issue by developing a representation framework for functional interactions between objects and agents. We use this framework with a constraint solver to resolve and recover the meanings of spatial descriptions for object placement tasks. We describe our approach in a virtual environment with an example of object placement task.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
ADA556117

Entities

People

  • Abraham R. Schneider
  • Justin Karneeb
  • Kalyan M. Gupta
  • Kellen Gillespie
  • Matthew Klenk

Organizations

  • Knexus Research (United States)

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Agents
  • Computer Graphics
  • Computer Science
  • Computers
  • Control Panels
  • Environment
  • Language
  • Military Research
  • Natural Languages
  • Office Buildings
  • Psychological Phenomena And Processes
  • Psychology
  • Reasoning
  • Simulations
  • Three Dimensional
  • Virtual Reality

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Linguistics