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 containing clinical notes along... Show more