The Architecture of a Cooperative Respondent (Dissertation Proposal)

Abstract

If natural language question-answering (NLQA) systems are to be truly effective and useful, they must respond to queries cooperatively, recognizing and accommodating in their replies a questioner's goals, plans, and needs. Transcripts of natural dialogue demonstrate that cooperative responses typically combine several communicative acts: a question may be answered, a misconception identified, an alternative course of action described and justified. This project concerns the design of cooperative response generation systems, NLQA systems that are able to provide integrated cooperative responses. Two questions must be answered before a cooperative NLQA system can be built. First, what are the reasoning mechanisms that underlie cooperative response generation? In partial reply, I argue that plan evaluation is an important step in the process of selecting a cooperative response, and describe several tests that may usefully be applied to inferred plans. The second question is this: what is an appropriate architecture for cooperative NLQA (CNLQA) systems? I propose a four- level decomposition of the cooperative response generation process and then present a suitable CNLQA system architecture based on the blackboard model of problem solving. Keywords: Computer programming, Man computer interface; Cooperative response systems; Question answer systems; Architecture.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1989
Accession Number
ADA218885

Entities

People

  • Brant A. Cheikes

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Signals
  • Artificial Intelligence
  • Automated Speech Recognition
  • Computers
  • Computing System Architectures
  • Decomposition
  • Demographic Cohorts
  • Detection
  • Digital Information
  • Language
  • Natural Languages
  • Notation
  • Operating Systems
  • Reasoning
  • Test And Evaluation
  • Theses
  • Time Intervals

Readers

  • Artificial Intelligence
  • Emergency Management and Homeland Security.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval