Article
DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization
2023-06-12
Abstract excerpt
This paper presents the results of the Data Science for Digital Health (DS4DH) group in the MEDIQA-Chat Tasks at ACL-ClinicalNLP 2023. Our study combines the power of a classical machine learning method, Support Vector Machine, for classifying medical dialogues, along with the implementation of oneshot prompts using GPT-3.5. We employ dialogues and summaries from the same category as prompts to generate summaries...
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Identifiers and source
- Literature Corpus work
- 19df8299-3720-5a67-bad0-e4127c0f3f52
- DOI
- 10.1101/2023.06.08.23291121