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 of natural language and unsupervised learning methods; therefore, I have worked on

  • Unsupervised NLP methods, such as the visually-grounded neural syntax learner (SMGL '19), contextualized bilingual lexicon induction (SZW '20), and deep clustering methods for syntax induction (GSGS '20).

  • Analysis and improvement of existing NLP models, such as neural unsupervised parsing methods (SLG '20), contituency parse tree--based recursive neural networks (SZCL '18), visual-semantic embeddings (SMXJS '18), multi-sense word embeddings (SLH '16), and pretrained language models as text span representations (TSSGLG '20).

  • For more details, see my academic c.v.

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