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implementation. Entity relation extraction is one of the fundamental tasks in biomedical text mining, which is usually solved by the models from natural language processing (NLP). Compared with traditional pipeline methods, joint methods can avoid the error propagation from entity to relation, giving better performances. However, the existing joint models are built upon sequential scheme, and fail to detect overlapping entity and relation, which are ubiquitous in biomedical texts. The main reason is that sequential models have relatively w
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