An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

WS 2020 Yifan PengQingyu ChenZhiyong Lu

Multi-task learning (MTL) has achieved remarkable success in natural language processing applications. In this work, we study a multi-task learning model with multiple decoders on varieties of biomedical and clinical natural language processing tasks such as text similarity, relation extraction, named entity recognition, and text inference... (read more)

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