| 演讲者 | Li Yuanfang | | 头衔职位 | Associate Professor, Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University | | 时间 | 2023年6月29日（星期四）10:00-11:30 | | 地点 | 江湾校区交叉二号楼E1019 | | 联系人 | 李直旭，zhixuli@fudan.edu.cn |
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演讲简介
Extracting structured knowledge from unstructured information such as text, images and speech is a long-standing problem and is useful in a variety of domains and applications. This problem comes with many challenges: label scarcity, multimodality and data biases, to name a few. In this talk, I will discuss some of these challenges and present our recent works that address them for the tasks of event and relation extraction.
关于讲者
Yuan-Fang Li is an Associate Professor at the Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Australia. He is also the Associate Dean International at the faculty. His research interests include knowledge graphs, natural language processing, multimodality, and neuro-symbolic learning and reasoning. Current projects include computational approaches to understanding cross-cultural social norms and political discourse, scalable knowledge management, and multimodal information extraction. He received both his bachelor's and PhD degrees in computer science from National University of Singapore.
