resource · 2024
Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study
arXiv
Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study is a resource in the TCM LLM catalog (Awesome-TCM-LLM), dated 2024. It is maintained alongside the GitHub list of Traditional Chinese Medicine large language models.
The authors assembled 389 articles on traditional Chinese medicine against COVID-19 and manually annotated 48 of them with six entity types; under fuzzy match ChatGPT beat BERT question-answering models on 5 of 6 tasks, while exact match reversed that pattern, and none of GPT-4’s F1 scores on herb, target, or research method exceeded 0.5.