This repository hosts the code for the experiments done in the paper Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints.
@misc{https://doi.org/10.48550/arxiv.2210.09440,
doi = {10.48550/ARXIV.2210.09440},
url = {https://arxiv.org/abs/2210.09440},
author = {Rohanian, Omid and Jauncey, Hannah and Nouriborji, Mohammadmahdi and Gonçalves, Bronner P. and Kartsonaki, Christiana and Group, ISARIC Clinical Characterisation and Merson, Laura and Clifton, David},
keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences, I.2.7, 68T50},
title = {Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints},
publisher = {arXiv},
year = {2022},
copyright = {arXiv.org perpetual, non-exclusive license}
}