Real-Time Natural Language Generation in NL-SOAR

@inproceedings{Rubinoff1994RealTimeNL,
  title={Real-Time Natural Language Generation in NL-SOAR},
  author={Robert Rubinoff and Jill Fain Lehman},
  booktitle={INLG},
  year={1994}
}
NL-Soar is a computer system that performs language comprehension and generation within the framework of the Soar architecture [New90]. NL-Soar provides language capabilities for systems working in a real-time environment. Responding in real time to changing situations requires a flexible way to shift control between language and task operations. To provide this flexibility, NL-Soar organizes generation as a sequence of incremental steps that can be interleaved with task actions as the… 

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References

SHOWING 1-10 OF 10 REFERENCES
Integrating knowledge sources in language comprehension
TLDR
NLSoar is presented, a language comprehension system that integrates disparate knowledge sources automatically and applies all the relevant knowledge sources simultaneously to each word.
The soar papers : research on integrated intelligence
TLDR
The Soar Papers provide in one place the important ideas that have emerged from the Soar Project, an investigation into the architecture underlying intelligent behaviour with the goal of developing and applying a unified theory of natural and artificial intelligence.
Unified Theories of Cognition
Introduction The Nature of Theories What Are Unified Theories of Cognition? Is Psychology Ready for Unified Theories? The Task of the Book Foundations of Cognitive Science Behaving Systems Knowledge
Intelligent Automated Agents for Tactical Air Simulation: A Progress Report
TLDR
This article reports on recent progress one (1-v-1) Beyond Visual Range (BVR) in the development of TacAir-Soar, an tactical air scenarios, and the non-jinking intelligent automated agent for tactical air bogey scenarios.
Experiences in interruptible language processing
  • Proceedings of the 1994 AAAI Spring Symposium on Active NLP
  • 1994
ModSAF behavior simulation and control In 3rd Conference on Computer Generated Forces and Behavioral Representation
  • ModSAF behavior simulation and control In 3rd Conference on Computer Generated Forces and Behavioral Representation
  • 1993
Lectures on Government and Binding. Foils Publications
  • Lectures on Government and Binding. Foils Publications
  • 1981