Freda (Haoyue) SHI

[Photo credit: Jiayuan Mao]

Greetings! I am a third-year Ph.D. student at the Toyota Technological Institute at Chicago, advised by Prof. Karen Livescu and Prof. Kevin Gimpel. Prior to that, I received my B.S. degree from Peking University, China, where I did my undergraduate thesis with Prof. Junfeng Hu.

My research interests are in computational linguistics and natural language processing. I am particularly interested in structure, ambiguity and metaphors in natural languages. My past and present research focuses on answering the following questions:

  • To what extent can we extract structures of natural language without explicit supervision? What inductive bias is necessary and what is not? (SMGL '19)
  • To what extent can meaningful structure priors (e.g., parse trees) and contrastive examples help machine language understanding? (SZCL '18, SMXJS '18)
  • To what extent can we detect and interpret multi-sense words and metaphors without explicit supervision? (SLH '16, SSH '18)
I am also interested in various topics in natural language processing and machine learning. For more details, see my academic c.v.

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