Relation Extraction Using Large Language Models: A Case Study on Acupuncture Point Locations

arXiv:2404.05415v1 Announce Type: new
Abstract: In acupuncture therapy, the accurate location of acupoints is essential for its effectiveness. The advanced language understanding capabilities of large language models (LLMs) like Generative Pre-trained Transformers (GPT) present a significant opportunity for extracting relations related to acupoint locations from textual knowledge sources. This study aims to compare the performance of GPT with traditional deep learning models (Long Short-Term Memory (LSTM) and Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (BioBERT)) in extracting acupoint-related …

abstract advanced arxiv capabilities case case study cs.ai cs.cl extraction generative gpt knowledge language language models language understanding large language large language models llms location locations relations study textual therapy transformers type understanding