High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models

arXiv:2312.08274v4 Announce Type: replace
Abstract: Objective: To develop a high-throughput biomedical relation extraction system that takes advantage of the large language models'(LLMs) reading comprehension ability and biomedical world knowledge in a scalable and evidential manner. Methods: We formulate the relation extraction task as binary classifications for large language models. Specifically, LLMs make the decision based on the external corpus and its world knowledge, giving the reason for the judgment for factual verification. This method is tailored for semi-structured web articles, …

abstract articles arxiv binary biomedical cs.ai cs.cl extraction knowledge language language models large language large language models llms reading scalable type web world