Computer Science Speaker Series Master Calendar

View Full Calendar

COLLOQUIUM: Lili Mou, "Neuro-Symbolic Deep Natural Language Understanding"

Event Type
Seminar/Symposium
Sponsor
Illinois Computer Science
Location
HYBRID: 2405 Siebel Center for Computer Science or online
Virtual
wifi event
Date
Apr 15, 2024   3:30 pm  
Views
150
Originating Calendar
Computer Science Colloquium Series

Zoom: https://illinois.zoom.us/j/83311213075?pwd=RjNVWkZvSFJQUFBHN1VLZld2ZzNaQT09

Refreshments Provided.

Abstract: 
Deep learning has largely improved the performance of natural language understanding (NLU) systems. However, most deep learning models are black-box machinery, and lack explicit interpretation. In this talk, I will introduce our recent progress on neuro-symbolic reasoning for NLU, which combines different schools of AI, namely, symbolism and connectionism. Generally, we will design a neural system with symbolic structures for an NLU task, and apply reinforcement learning or its relaxation to perform weakly supervised reasoning in the downstream task. Our framework has been successfully applied to various tasks, including SQL command reasoning, syntactic structure reasoning, and logical reasoning.

Bio:
Dr. Lili Mou is an Assistant Professor at the Department of Computing Science, University of Alberta. He is also an Alberta Machine Intelligence Institute (Amii) Fellow and a Canada CIFAR AI (CCAI) Chair. Lili received his BS and PhD degrees in 2012 and 2017, respectively, from School of EECS, Peking University. After that, he worked as a postdoctoral fellow at the University of Waterloo. His research interests include deep learning applied to natural language processing as well as programming language processing. He has publications at top conferences and journals, including AAAI, EMNLP, TACL, ICML, ICLR, and NeurIPS. He also presented tutorials at EMNLP'19 and ACL'20. He received a AAAI New Faculty Highlight Award in 2021.


Part of the Illinois Computer Science Speakers Series. Faculty Host: Hao Peng


Meeting ID: 833 1121 3075 
Passcode: csillinois


If accommodation is required, please email <erink@illinois.edu> or <communications@cs.illinois.edu>. Someone from our staff will contact you to discuss your specific needs



 

 

link for robots only