资源 · 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」是 中医大模型开源资源目录（Awesome-TCM-LLM）收录的资源，记录于 2024。该条目属于中医大模型（TCM LLM）领域，与 GitHub 列表同源维护。
作者整理389篇中医药抗新冠文献，人工标注其中48篇的6类实体；模糊匹配下ChatGPT在6项任务中的5项超过BERT问答模型，精确匹配则相反，且GPT-4在药材、靶点和研究方法上的F1都未超过0.5。