Biomedical relation extraction is a core problem in biomedical natural language processing, whose goal is to classify the relations between entity mentions within a classified given text, being modeled as a classification method. There has been some recent work on converting biomedical RE to other auxiliary tasks to deal with it. However, they have all neglected the fact that this form of RE is subject to the inherent bias of the auxiliary task, resulting in the inability to make truly reasonable predictions. In this paper, we propose the CouBRE method, which excludes the direct influence of p...
