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Long short-term memory RNN for biomedical named entity recognition

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Biomedical named entity recognition(BNER) is a crucial initial step of information extraction in biomedical domain. The task is typically modeled as a sequence labeling problem. Various machine learning algorithms, such as Conditional Random Fields (CRFs), have been successfully used for this task. However, these state-of-the-art BNER systems largely depend on hand-crafted features.

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Nội dung Text: Long short-term memory RNN for biomedical named entity recognition

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