Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction

Understand

Relation extraction is a core problem for natural language processing in the biomedical domain.

• Recent research on relation extraction showed that prompt-based learning improves the performance on both fine-tuning on full training set and few-shot training.
• However, less effort has been made on domain-specific tasks where good prompt design can be even harder.
• In this paper, we investigate prompting for biomedical relation extraction, with experiments on the ChemProt dataset.