Weijia Shi

Weijia Shi

Ph.D. Student

University of Washington

About me

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.

Interests

  • Natural language Processing
  • Machine Learning

Education

  • Ph.D student

    University of Washington

  • B.S in Computer Science, 2020

    University of California, Los Angeles

Publications

2021

  • Cross-lingual entity alignment for knowledge graphs with incidental supervision from free text
    Muhao Chen*, Weijia Shi*, Ben Zhou, Dan Roth
    In the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.

2020

  • 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]

2019

  • 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]

Experiences

  • 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