Keynote Speakers
 |
Alfio Massimiliano Gliozzo Research Manager - Knowledge Induction, IBM T.J. Watson Research Alfio Gliozzo is a researcher with over 13 years of postdoctoral experience in the field of Artificial Intelligence. He manages the Knowledge Induction department at IBM T.J. Watson Research and he is a global leader for the area of Knowledge in IBM research AI. His research focuses on automatic induction of knowledge graphs from text and their exploitation for enterprise AI solutions. He published approximately 100 scientific publications, including books, papers and patents. He was part of the Deep QA team that developed Watson, the system that defeated the Jeopardy! grand masters. |
 |
Dan Roth Eduardo D. Glandt Distinguished Professor - Department of Computer and information Science, University of Pennsylvania Dan Roth is the Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science, University of Pennsylvania, and a Fellow of the AAAS, the ACM, AAAI, and the ACL. In 2017 Roth was awarded the John McCarthy Award, the highest award the AI community gives to mid-career AI researchers. Roth was recognized “for major conceptual and theoretical advances in the modeling of natural language understanding, machine learning, and reasoning.” Roth has published broadly in machine learning, natural language processing, knowledge representation and reasoning, and learning theory, and has developed advanced machine learning based tools for natural language applications that are being used widely. Roth is a co-founder and the chief scientist of NexLP, Inc., a startup that leverages the latest advances in Natural Language Processing (NLP), Cognitive Analytics, and Machine Learning in the legal and compliance domains. Prof. Roth received his B.A Summa cum laude in Mathematics from the Technion, Israel, and his Ph.D. in Computer Science from Harvard University in 1995. |
 |
Charles Elkan Managing Director - Goldman Sachs Charles Elkan is the head of machine learning at Goldman Sachs, and also an adjunct professor of computer science at the University of California, San Diego (UCSD). Earlier, he was the first Amazon Fellow, leading a team of over 30 scientists and engineers in Seattle, Palo Alto, and New York doing research and development in applied machine learning in both e-commerce and cloud computing. Before joining Amazon, he was a full professor of computer science at UCSD. |
 |
Danqi Chen Assistant Professor - Department of Computer Science, Princeton University Danqi is an assistant professor of Computer Science at Princeton University. Previously, she was a visiting research scientist at Facebook AI Research (Seattle). She received her PhD from the Computer Science Department at Stanford University, where she was advised by Christopher Manning and worked in the Stanford NLP Group. Before that, she was an undergraduate student from the Special Pilot CS Class supervised by Andrew Yao at Tsinghua University. Her main research interests lie within deep learning for natural language processing, and she is particularly interested in the intersection between text understanding and knowledge representation/reasoning. |
Schedule
More details to follow.
Contact Information
For general inquiries about the KDF workshop and participation, please write to kdf2020@easychair.org.