showSidebars ==
showTitleBreadcrumbs == 1
node.field_disable_title_breadcrumbs.value ==

Turning Information into Knowledge: Challenges & Solutions

Please click here if you are unable to view this page.

 

Turning Information into Knowledge: Challenges & Solutions

Speaker (s):

Li Yuan-Fang
Associate Professor,
Monash University, Australia

Date:

Time:

Venue:

 

3 July 2023, Monday

10:30m - 11:30am

School of Economics/School of Computing &
Information Systems 2 (SOE/SCIS 2)
Level 4, Seminar Room 4-1
Singapore Management University
90 Stamford Road, Singapore 178903

Please register by 2 July 2023

We look forward to seeing you at this research seminar.

About the Talk

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.

About the Speaker

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.