David Smith

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

PhD in Computer Science, Johns Hopkins University
BA in Classics, Harvard University

David A. Smith is an associate professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston. He is a founding member of the NULab for Texts, Maps, and Networks, Northeastern University’s center for the digital humanities and computational social sciences.

Prior to joining Northeastern, Smith was a professor at the University of Massachusetts and a contributor to Tufts University's Perseus Digital Library, one of the most widely used linguistic and cultural research systems in the humanities field. Funded by the NSF, NEH, DARPA, ONR, AFRL, the Mellon Foundation, and Google, Smith has published widely in natural language processing and computational linguistics, information retrieval, digital libraries, digital humanities, and political science.

NULab for Texts, Maps, and Networks

Published: August 26th, 2021
The Open Islamicate Texts Initiative Arabic-script OCR Catalyst Project (OpenITI AOCP)

Lead PI: David Smith

Co PIs: Alejandro Toselli, , Ryan Muther

Published: June 27th, 2014
Detecting and Evaluating Local Text Reuse in Social Networks

Citation: Shaobin Xu, David Smith, Abigail Mullen, and Ryan Cordell. Detecting and evaluating local text reuse in social networks. In ACL Joint Workshop on Social Dynamics and Personal Attributes in Social Media, 2014.
Published: February 8th, 2018
Contrastive Training for Models of Information Cascades

Citation: Shaobin Xu, David A. Smith. (2018). Contrastive Training for Models of Information Cascades AAAI, 483-490. https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17086
Published: January 1st, 2021
Content-based Models of Quotation

Citation: Ansel MacLaughlin, David A. Smith. (2021). Content-based Models of Quotation EACL, 2296-2314. https://doi.org/10.18653/v1/2021.eacl-main.195