Article

Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing

2024-06-28

Abstract excerpt

<title>Abstract</title> <p>The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily available or affordable. Weak supervision and in-context learning offer partial solutions to this issue, particularly using large language models (LLMs), but their performance still trails traditional supervised metho...

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Literature Corpus work: fcf4cd95-b409-5110-bb42-a4e4abbcd950
DOI: 10.21203/rs.3.rs-4559971/v1

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