Using bottleneck adapters to identify cancer in clinical notes under low-resource constraints
Processing information locked within clinical health records is a challenging task that remains an active area of research in biomedical NLP. In this work, we evaluate a broad set of machine learning techniques ranging from simple RNNs to specialised transformers such as BioBERT on a dataset contain...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Conference item |
| Language: | English |
| Published: |
Association for Computational Linguistics
2023
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