Teaching Language to Computers
Dr. Xiaodan Zhu is an assistant professor in the Department of Electrical and Computer Engineering at Queen鈥檚, where he leads the Text Analytics and Machine Learning Lab (TAML). He is also a member of Queen's聽Ingenuity Labs Research Institute and is an affiliated expert with Queen鈥檚 Conflict Analytics Lab. He is associate editor of the journal Computational Intelligence and serves as the program co-chair of the 33rd Canadian Conference on Artificial Intelligence. His research interests include machine learning, natural language processing, deep learning, and artificial intelligence. Prior to joining Queen鈥檚 in 2017, Dr. Zhu was a research officer at the National Research Council of Canada.
In this episode, Dr. Zhu discusses how his research, at the frontier of artificial intelligence, is helping computers better understand language, with wide ranging applications. He also explains the intersections of law and AI with his work at the Queen鈥檚 Conflict Analytics Lab.
Please visit the for more information about Dr. Zhu鈥檚 research.
Teaching Language to Computers
