CS Events

Computer Science Department Colloquium

Understanding Event Processes in Natural Language


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Thursday, March 24, 2022, 02:00pm - 03:00pm



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Topic: Muhao Chen Seminar Talk
Time: Mar 24, 2022 02:00 PM Eastern Time (US and Canada)

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Meeting ID: 969 9685 0126
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Speaker: Muhao Chen


Muhao Chen is an Assistant Research Professor at the Department of Computer Science, USC, where he directs the Language Understanding and Knowledge Acquisition (LUKA) Lab. His research focuses on minimally supervised data-driven machine learning for natural language understanding, structured data processing, and knowledge acquisition from unstructured data. His work has been recognized with an NSF CRII Award, a best student paper award at ACM BCB, and a best paper award nomination at CoNLL. Muhao obtained his PhD degree from UCLA Department of Computer Science in 2019, and was a postdoctoral fellow at UPenn prior to joining USC. Additional information is available at https://muhaochen.github.io/

Location : Via Zoom

Event Type: Computer Science Department Colloquium

Abstract: Human languages evolve to communicate about events happening in the real world. Therefore, understanding events plays a critical role in natural language understanding (NLU). A key challenge to this mission lies in the fact that events are not just simple, standalone predicates. Rather, they are often described at different granularities, temporally form event processes, and are directed by specific central goals in a context. This talk covers recent advances in event process understanding in natural language. In this context, I will first introduce how to recognize the evolution of events from natural language, then how to solve fundamental problems of event process completion, intention prediction and membership prediction, and how knowledge about event processes can benefit various downstream NLU and machine perception tasks. I will also briefly present some open problems in this area, along with a system demonstration.


Rutgers University School of Arts and Sciences

Contact  Yongfeng Zhang