In conjunction with the IEEE BigComp 2025 - 12th IEEE International Conference on Big Data and Smart Computing
When people look for information or find particular services, they used to put queries into search engines and choose a desired one among candidates. Although this way of human computer interaction (HCI) makes it possible to find their desired ones much efficiently than before, now they want more convenient way. Dialog system is the one, which makes people to communicate with computers through natural language or voices. The dialog system is successfully applied to various applications, such as intelligent speaker (e.g., Amazon echo, Google home) and intelligent counsellor, courtesy of great advance of machine learning techniques. It usually consists of several cascade steps (e.g., speech to text, natural language understanding), and it is necessary to find a way of improving of the steps and effectively incorporating them. We want to discuss and share the knowledge about how to solve these issues.
This workshop aims to create opportunities to discuss about the state-of-the-art studies, and to share on-going works. We hope that this will enhance collaboration among the researchers related to dialog systems. There are many challenging issues, such as out-of-domain detection, distant voice recognition, and end-to-end systems. We want to discuss about how to solve such issues, and share the experiences of applying the dialog system to real-world applications.
We invite submissions on topics that include, but are not limited to, the following:
※ Authors should submit their accepted papers in the Camera-Ready version according to instructions of the main conference (see here).
All questions about submissions should be emailed to chairs Chae-Gyun Lim (rayote@kaist.ac.kr) or Young-Seob Jeong (ysjay@chungbuk.ac.kr).