Yun-Nung (Vivian) Chen

  • Associate Professor
  • National Taiwan University

Robustness, Scalability, and Practicality of Conversational AI




Abstract:  Even conversational systems have attracted a lot of attention recently, there are many remaining challenges to be resolved. This talk presents three different dimensions for improvement: 1) Robustness — how to deal with speech recognition errors for better language understanding performance, 2) Scalability — how to better utilize the limited data, and 3) Practicality — how to naturally perform recommendation in a conversational manner. All directions enhance the usefulness of conversational systems, showing the potential of guiding future research areas



Bio: Yun-Nung (Vivian) Chen is currently an associate professor in the Department of Computer Science & Information Engineering at National Taiwan University. She earned her Ph.D. degree from Carnegie Mellon University, where her research interests focus on spoken dialogue systems and natural language processing. She was recognized as the Taiwan Outstanding Young Women in Science and received Google Faculty Research Awards, Amazon AWS Machine Learning Research Awards, MOST Young Scholar Fellowship, and FAOS Young Scholar Innovation Award. Her team was selected to participate in the first Alexa Prize TaskBot Challenge in 2021. Prior to joining National Taiwan University, she worked in the Deep Learning Technology Center at Microsoft Research Redmond.