10 citations · 12 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CL2021
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Denis Jered McInerney, Luyang Kong, Kristjan Arumae +2
Multi-task learning is useful in NLP because it is often practically desirable to have a single model that works across a range of tasks. In the medical domain, sequential training…
cs.CL2021
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics
Luyang Kong, Christopher Winestock, Parminder Bhatia
Medical entity retrieval is an integral component for understanding and communicating information across various health systems. Current approaches tend to work well on specific me…