In conjunction with the IEEE BigComp 2023 - 10th 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/conferences/?conf=iwds2023
Paper templates:
IEEE_MSWord_Template.doc
IEEE_Latex_Template.zip
※ This tentative schedule may be updated.
Recognizing emotions in conversation is utilized in a variety of applications. Typically, it is used for various tasks such as recommendation systems, healthcare systems, call centers, and empathy conversations. Also, knowing the other person's feelings helps you respond appropriately. If the speaker speaks with emotion, it can effectively convey an intention to the other person. Since there are clues for recognizing emotions in images or audio as well as text, many researchers pay attention to multimodal emotion recognition. Emotions can also be considered meta-information in a conversation. Therefore, combining emotions with conversations is highly relevant to knowledge- or persona-based conversations.
※ Authors have to prepare 20 min. for their presentation (including 5 min. for Q&A).
※ Participants may attend the workshop in either of online or offline.
All questions about submissions should be emailed to chairs Chae-Gyun Lim (rayote@kaist.ac.kr) or Young-Seob Jeong (ysjay@chungbuk.ac.kr).