Year: 2026
Type: conference-paper
Abstract: Joaquin Polonuer, Lucas Vittor, Iñaki Arango, Ayush Noori, David A. Clifton, Luciano Del Corro, Marinka Zitnik. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funders: National Science Foundation, Bill and Melinda Gates Foundation, Pfizer, AstraZeneca, GlaxoSmithKline, Sanofi, Harvard University, National Institute for Health and Care Research, Royal Academy of Engineering, University of Oxford, Advanced Research Projects Agency, Harvard Data Science Initiative, Harvard University
Awards: CAREER: Geometric Deep Learning to Facilitate Algorithmic and Scientific Advances in Therapeutics, Predictive Machine Learning and Digital Health for Improving Patient Outcomes, G6671297155, Harvard University - To leverage knowledge graph AI to enhance evidence-based decision making for global health.
OpenAlex ID: W7166885693