January 17, 2021, Bangkok, Thailand
In conjunction with the IEEE BigComp 2021 - 8th 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:
All papers must be original and not simultaneously submitted to another journal or conference. Prospective authors are invited to submit their papers, 4 pages, in English according to the IEEE two-column format for conference proceedings. The author list may appear in the paper, but can be omitted if the authors want to. The direct link for paper submission is below. All submissions will be peer-reviewed by the Program Committee of the workshop. All accepted workshop papers will be published in the IEEE Xplore Digital Library as conference proceedings.
Direct link for paper submission: https://easychair.org/my/conference?conf=iwds2021
Han-Gyu Kim received the B.S. degree in Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2009, and the M.S. degree and the Ph.D degree in School of Computing, KAIST, Daejeon, South Korea, in 2011 and 2018, respectively. He has been a research engineer in NAVER Corp., Gyeonggi-do, South Korea since 2018. His research interests include speech recognition, source separation, machine learning and artificial intelligence.