4 citations · 5 across the 6 of their papers we have counts for
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cs.CL2023★ 4 cited
MapperGPT: Large Language Models for Linking and Mapping Entities
Nicolas Matentzoglu, J. Harry Caufield, Harshad B. Hegde +6
Aligning terminological resources, including ontologies, controlled vocabularies, taxonomies, and value sets is a critical part of data integration in many domains such as healthca…
cs.CL2023★ 1 cited
An evaluation of GPT models for phenotype concept recognition
Tudor Groza, Harry Caufield, Dylan Gration +5
Objective: Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-trac…