
Rebecca Gelles
wikipedia
knowledge bases
multi-label classification
taxonomy construction
human-computer interaction
zero-shot classification
societal impact of ai
science of science
ai and jobs/labor
fields of study
2
presentations
SHORT BIO
Rebecca Gelles is a Data Scientist at Georgetown's Center for Security and Emerging Technology. Her work at CSET has included data scraping and extraction, ingest, enhancement, and analysis, information extraction and classification, entity resolution, weak labeling, topic modeling, and cluster analysis, among other areas. Previously, she spent almost seven years in government, where worked on topics ranging from cryptography to data science to natural language processing to high performance computing. Rebecca holds a B.A. in Computer Science and Linguistics from Carleton College and an M.S. in Computer Science from University of Maryland College Park, where her research focused on how the media influences users' computer security postures and on artificial intelligence techniques for defending IoT devices from cyber attacks.
Presentations

Multi-Label Field Classification for Scientific Documents using Expert and Crowd-sourced Knowledge
Rebecca Gelles and 1 other author

Resource Democratization: Is Compute the Binding Constraint on AI Research?
Rebecca Gelles and 3 other authors