BertSRC: transformer-based semantic relation classification.

ABSTRACT: The relationship between biomedical entities is complex, and many of them have not yet been identified. For many biomedical research areas including drug discovery, it is of paramount importance to identify the relationships that have already been established through a comprehensive literature survey. However, manually searching through literature is difficult as the amount of biomedical publications continues to increase. Therefore, the relation classification task, which automatically mines meaningful relations from the literature, is spotlighted in the field of biomedical text mining. By applying relation classification techniques to the accumulated biomedical literature, existing semantic relations between biomedical entities that can help to infer previously unknown relationships are

SUBMITTER: Lee Y 

PROVIDER: S-EPMC9446816 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature