I am a Ph.D. candidate in Computer Science at University of Utah, co-advised by Prof. Ellen Riloff and Prof. Vivek Srikumar. My research mainly focuses on Natural Language Processing and Machine Learning. I am particularly interested in information extraction, sentiment analysis and commonsense knowledge inference.
Before coming to University of Utah, I was a Master student in Computer Science at University of Michigan, Ann Arbor, where I worked with Prof. Dragomir Radev. I obtained my Bachelor degrees in Maths and Physics at University of Rochester.
I was lucky to intern at Jet Propulsion Laboratory in Summer 2021 and Alexa AI, Amazon in Summer 2022. I will intern at Alexa AI, Amazon in Fall 2023.
PLAtE: A Large-scale Dataset for List Page Web Extraction
Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David Ciemiewicz, Sandeep Atluri, Yangfeng Ji, Kevin Small, Heba Elfardy
To appear in Proceedings of the Association for Computational Linguistics, Industry Track (Industry Track of ACL 2023)
Eliciting Affective Events from Language Models by Multiple View Co-prompting
Yuan Zhuang, Ellen Riloff
To appear in Findings of the Association for Computational Linguistics (Findings of ACL 2023)
Exploiting Unary Relations with Stacked Learning for Relation Extraction
Yuan Zhuang, Ellen Riloff, Kiri L. Wagstaff, Raymond Francis, Matthew P. Golombek, Leslie K. Tamppari
The Third Workshop on Scholarly Document Processing (SDP@COLING 2022)
Targets from the Spirit Mars Exploration Rover in the Mars Target Encyclopedia
Kiri L. Wagstaff, Raymond Francis, Matthew P. Golombek, Steve Lu, Ellen Riloff, Leslie K. Tamppari, Yuan Zhuang, Thomas Stein
The 2022 Lunar and Planetary Science Conference (LPSC 2022)
Affective Event Classification with Discourse-enhanced Self-training
Yuan Zhuang, Tianyu Jiang, Ellen Riloff
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions Yuan Zhuang, Ellen Riloff
Proceedings of the Association for Computational Linguistics: Student Research Workshop (ACL SRW 2020)
[Dataset], [Annotation Guideline]