Few-Shot and Prompt Training for Text Classification in German Doctor's Letters.
Studies in health technology and informatics(2023)
摘要
To classify sentences in cardiovascular German doctor's letters into eleven section categories, we used pattern-exploiting training, a prompt-based method for text classification in few-shot learning scenarios (20, 50 and 100 instances per class) using language models with various pre-training approaches evaluated on CARDIO:DE, a freely available German clinical routine corpus. Prompting improves results by 5-28% accuracy compared to traditional methods, reducing manual annotation efforts and computational costs in a clinical setting.
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关键词
deep learning, prompting, language models, cardiology
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