A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs
Background: Biomedical knowledge graphs (KG) have become crucial for describing biological findings in a structured manner.To keep up with the constantly changing flow of knowledge, their embedded information must be regularly updated with the latest findings.Natural language processing (NLP) has created new possibilities for automating this upkeep