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Affiliate

David Smith

Khoury College of Computer Sciences

Research Interests

  • Efficient inference for machine learning models with complex latent structure

  • Modeling natural language structures, such as morphology, syntax, and semantics

  • Modeling the mutations in texts as they propagate through social networks and in language across space and time

  • Interactive information retrieval and machine learning for expert users

About

David Smith’s research focuses on modeling natural language structures and tracking mutations in texts across space and time through social media. He is also a member of the NULab for Texts, Maps, and Networks, which combines computer science and humanities to track cultural phenomena through computer science.

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