Automated Medical Language Generation Task

A Automated Medical Language Generation Task is an domain-specific NLG task from a Medical domain.

• Context:
  • It can range from being a Constratined Medical NLG to being Unconstrained Medical NLG.
  • …
• Example(s):
  • Medical Question Answering (Singhal et al., 2022; Liévin et al., 2022).
  • Medical Summarization (Chintagunta et al., 2021). ...
  • …
• Counter-Example(s):
  • Automated Medical NLU Task, such as: Medical Information Extraction (Agrawal et al., 2022).
  • Manual Medical NLG.
  • Legal NLG.
• See: Medical NLP, NLG Task.

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References

2023

• (Nair et al., 2023) ⇒ Varun Nair, Elliot Schumacher, Geoffrey Tso, and Anitha Kannan. (2023). “DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents.” doi:10.48550/arXiv.2303.17071
  • QUOTE: ... The use of these models has led to advances in natural language performance far beyond just language modeling tasks. Within the realm of medicine, LLM-powered methods have shown improvements in medical tasks such as question answering (Singhal et al., 2022; Liévin et al., 2022), information extraction (Agrawal et al., 2022), and summarization (Chintagunta et al., 2021). ...

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