William Wang

Emotionally and Semantically Conditioned Dialogue Response Generation

A major challenge for advancing the state-of-the-art dialogue systems is to improve the controllability and robustness of the neural dialogue response generation module. In this talk, I will introduce MojiTalk, our recent work towards building the next generation empathetic dialogue agent that can synthesize human emotion into dialogue generation, without the need of any human annotated data. Furthermore, I will also discuss, in a complex multi-domain task-oriented dialogue system, how we can use graph representations to encode dialogue act dependency graph, and generate controllable and explainable response with disentangled hierarchical self-attention models.

William Wang is the Director of UC Santa Barbara's Natural Language Processing group and Responsible Machine Learning Center. He is an Assistant Professor in the Department of Computer Science at the University of California, Santa Barbara. He received his PhD from the School of Computer Science, Carnegie Mellon University. He has broad interests in machine learning approaches to data science, including statistical relational learning, information extraction, computational social science, speech, and vision. He has published more than 80 papers at leading NLP/AI/ML conferences and journals, and received best paper awards (or nominations) at ASRU 2013, CIKM 2013, EMNLP 2015, and CVPR 2019, a DARPA Young Faculty Award (Class of 2018), a Google Faculty Research Award (2018), three IBM Faculty Awards (2017-2019), two Facebook Research Awards (2018, 2019), an Adobe Research Award in 2018, and the Richard King Mellon Presidential Fellowship in 2011. He frequently serves as an Area Chair for NAACL, ACL, EMNLP, and AAAI. He is an alumnus of Columbia University, and a former research scientist intern of Yahoo! Labs, Microsoft Research Redmond, and University of Southern California. In addition to research, William enjoys writing scientific articles that impact the broader online community: his microblog @王威廉 has 100,000+ followers and more than 2,000,000 views each month. His work and opinions appear at major tech media outlets such as Wired, VICE, Scientific American, Fast Company, NASDAQ, The Next Web, Law.com, and Mental Floss.

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