Ten Challenges in Highly-Interactive Dialog Systems

Abstract

Systems capable of highly-interactive dialog have recently been developed in several domains. This paper considers how to build on these successes to make systems more robust, easier to develop, more adaptable, and more scientifically significant.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
AD1159734

Entities

People

  • David Devault
  • Nigel G. Ward

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • California
  • Computer Languages
  • Computer Science
  • Computers
  • Dialogue Systems
  • Engineering
  • Human Behavior
  • Language
  • Learning
  • Machine Learning
  • Multiagent Systems
  • Personality
  • Reinforcement Learning
  • Social Sciences
  • United States
  • United States Government
  • Unsupervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Defense Technology Research and Development.
  • Linear Algebra
  • Software Engineering