Coherence of Off-Topic Responses for a Virtual Character

Abstract

We demonstrate three classes of off-topic responses which allow a virtual question-answering character to handle cases where it does not understand the user's input: ask for clarification, indicate misunderstanding, and move on with the conversation. While falling short of full dialogue management, a combination of such responses together with prompts to change the topic can improve overall dialogue coherence.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA504188

Entities

People

  • Anton Leuski
  • David R Traum
  • Jacob Cannon
  • Jillian Gerten
  • Joe Henderer
  • Ron Artstein
  • Sudeep Gandhe

Organizations

  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Automated Speech Recognition
  • Behavioral Sciences
  • Computational Linguistics
  • Information Exchange
  • Information Retrieval
  • Information Science
  • Language
  • Linguistics
  • Machine Learning
  • Natural Languages
  • New York
  • Personality
  • Ratings
  • Recognition
  • United States

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence