Tutorial 4: Yun-Nung (Vivian) Chen "Deep Learning for Conversational AI"

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  • Day 1 (Nov.17), 13:30-15:00
  • Room 1102 (11th floor)
  • Speaker: Yun-Nung (Vivian) Chen (National Taiwan University)


In the past decade, conversational systems have been the most prominent component in today's virtual personal assistants. The classic dialogue systems have rather complex and/or modular pipelines. The advance of deep learning technologies has recently risen the applications of neural models to dialogue modeling. However, how to build a conversational AI that can satisfy users' needs is still challenging. Hence, this tutorial is designed to focus on an overview of the conversational system development while describing most recent research for building dialogue systems and summarizing the challenges, in order to allow researchers to study the potential improvements of the state-of-the-art conversational AI.


Yun-Nung (Vivian) Chen is currently an assistant professor at the Department of Computer Science & Information Engineering, National Taiwan University. She earned her Ph.D. degree from Carnegie Mellon University, where her research interests focus on spoken dialogue system, language understanding, natural language processing, and multi-modal speech application. She received Google Faculty Award 2016, MOST Young Scholar Fellowship, and FAOS Young Scholar Innovation Award. Prior to joining National Taiwan University, she worked in the Deep Learning Technology Center at Microsoft Research Redmond. More about her can be found at http://vivianchen.idv.tw.