Character level and word level embedding with bidirectional LSTM - Dynamic recurrent neural network for biomedical named entity recognition from literature.
Named Entity Recognition is the process of identifying different entities in a given context. Biomedical Named Entity Recognition (BNER) is the task of extracting chemical names from biomedical texts to support biomedical and translational research. The aim of the system is to extract useful chemica...
| Published in: | Journal of Biomedical Informatics Vol. 112 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Academic Press Inc.
Dec2020
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| Online Access: | View this record in EBSCOhost |