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An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment.

Youngmin Park1, Sangwoo Kang2, Jungyun Seo3

  • 1Department of Engineering, Computer Science, Sogang University, Seoul 04107, Korea. pymnlp@gmail.com.

Sensors (Basel, Switzerland)
|May 19, 2018
PubMed
Summary

This study introduces a novel framework for developing intelligent dialog systems, simplifying the creation of task-oriented conversational agents for smart homes. The framework allows even novice developers to build sophisticated systems by managing dialog knowledge and integrating external modules.

Keywords:
dialog frameworkintelligent virtual assistantnatural language understandingsmart home

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Area of Science:

  • Artificial Intelligence
  • Human-Computer Interaction
  • Natural Language Processing

Background:

  • Growing interest in conversational agents for smart homes necessitates robust dialog systems.
  • Existing research often focuses on isolated modules, lacking integrated dialog system frameworks.
  • A need exists for a comprehensive framework to manage entire dialog systems effectively.

Purpose of the Study:

  • To propose a novel framework for the development of intelligent task-oriented dialog systems.
  • To enable effective integration and management of the entire dialog system.
  • To facilitate the creation of sophisticated dialog systems by developers with varying experience levels.

Main Methods:

  • Development of a framework that ontologically expresses knowledge for task-oriented dialog systems.
  • Implementation of a module router for integrating externally developed modules.
  • Introduction of a hierarchical argument structure (HAS) for managing natural language argument representations.
  • Empirical validation through an experiment with novice dialog system developers.

Main Results:

  • The proposed framework allows for dialog system construction through editing dialog knowledge.
  • The module router enables indirect execution of external modules, enhancing flexibility.
  • The HAS facilitates more intelligent conversations by effectively managing argument structures.
  • Experimental results demonstrate that beginner developers can successfully create high-level task-oriented dialog systems.

Conclusions:

  • The developed framework significantly simplifies the creation of intelligent dialog systems.
  • It empowers developers, including beginners, to build advanced task-oriented conversational agents.
  • The framework addresses the gap in integrated dialog system development, paving the way for more capable smart home agents.