Hi! I am a first-year PhD student in the Natural Language Processing group at the University of Washington. I am fortunate to be advised by Luke Zettlemoyer. Previously, I recieved B.S in Computer Science from UCLA.
Ph.D student
University of Washington
B.S in Computer Science, 2020
University of California, Los Angeles
Design Challenges for Low-resource Cross-lingual Entity Linking
Xingyu Fu*, Weijia Shi*, Zian Zhao, Xiaodong Yu, Dan Roth
In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
[paper]
On Tractable Representations of Binary Neural Networks
Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi
In Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR) 2020.
[paper]
Retrofitting contextualized word embeddings with paraphrases
Weijia Shi*, Muhao Chen*, Pei Zhou, Kai-Wei Chang
In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
[paper]
Examining gender bias in languages with grammatical gender
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
[paper]
Learning bilingual word embeddings using lexical definitions
Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang
In Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019).
[paper]
Compiling neural networks into tractable Boolean circuits
Arthur Choi, Weijia Shi, Andy Shih, Adnan Darwiche
In AAAI Spring Symposium on Verification of Neural Networks (VNN)
[paper]
University of Pennsylvania (2019.6-2019.9)
Undergraduate research intern, supervised by Dan Roth
University of California, Los Angeles (2018.6-2019.6)
Undergraduate research intern, supervised by Adnan Darwiche and Kai-Wei Chang