Automatic extraction of high-quality biomedical entity relations from biomedical texts plays an important role in biomedical text mining. Currently, existing methods generally focus on training a single task model for a specific task (e.g., drug-drug interaction extraction, protein-protein interaction extraction), ignoring the correlation among multiple tasks. To solve the problem, we used neural network-based&n
