Browsing by Subject "Natural Language Processing"
Now showing items 1-4 of 4
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Clinical Prompt Learning with Frozen Language Models
(2022-05)Prompt learning is a new paradigm in the Natural Language Processing (NLP) field which has shown impressive performance on a number of natural language tasks with common benchmarking text datasets in full, few-shot, and ... -
Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder
(2020-10)Relying on large pretrained language models such as Bidirectional Encoder Representations from Transformers (BERT) for encoding and adding a simple prediction layer has led to impressive performance in many clinical natural ... -
Med7: a transferable clinical natural language processing model for electronic health records
(2020-04)The field of clinical natural language processing has been advanced significantly since the introduction of deep learning models. The self-supervised representation learning and the transfer learning paradigm became the ... -
Natural language processing for structuring clinical text data on depression using UK-CRIS
(2020-02)Background Utilisation of routinely collected electronic health records from secondary care offers unprecedented possibilities for medical science research but can also present difficulties. One key issue is that medical ...
