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BO-LSTM: Classifying relations via long short-term memory networks along biomedical ontologies

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Recent studies have proposed deep learning techniques, namely recurrent neural networks, to improve biomedical text mining tasks. However, these techniques rarely take advantage of existing domain-specific resources, such as ontologies. In Life and Health Sciences there is a vast and valuable set of such resources publicly available, which are continuously being updated.

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Nội dung Text: BO-LSTM: Classifying relations via long short-term memory networks along biomedical ontologies

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