Abstract
In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a dialog framework that can integrate and manage the entire dialog system. Therefore, in this study, we propose a framework that enables the user to effectively develop an intelligent dialog system. The proposed framework ontologically expresses the knowledge required for the task-oriented dialog system’s process and can build a dialog system by editing the dialog knowledge. In addition, the framework provides a module router that can indirectly run externally developed modules. Further, it enables a more intelligent conversation by providing a hierarchical argument structure (HAS) to manage the various argument representations included in natural language sentences. To verify the practicality of the framework, an experiment was conducted in which developers without any previous experience in developing a dialog system developed task-oriented dialog systems using the proposed framework. The experimental results show that even beginner dialog system developers can develop a high-level task-oriented dialog system.
Highlights
A smart home system is a system that monitors and controls various electronic devices to provide convenience to users in a private residential environment
argument generation (AG) uses a lexico-semantic pattern (LSP) [54] that is similar to the rule-based approach of natural language understanding (NLU) to perform this function
The models used in NLU were compared based on the approach used: the rule-based approach constructed by the developers, the machine learning approach [18] created using the training corpus, and the hybrid approach combining the two methods
Summary
A smart home system is a system that monitors and controls various electronic devices to provide convenience to users in a private residential environment. A task-oriented dialog system recognizes a user intended task from a user’s speech in a smart home environment and provides core functions to accomplish the intended purpose. Such a dialog system is designed to achieve specific objectives and tasks such as climate control, schedule management, hotel reservation, and text-based communication [3,4,5,6,7]. In this study, we propose a dialog framework that helps non-expert developers in dialog systems and natural language processing implement a task-oriented dialog system.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
