Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition.
With the rapid advancement of technology and the necessity of processing large amounts of data, biomedical Named Entity Recognition (NER) has become an essential technique for information extraction in the biomedical field. NER, which is a sequence-labeling task, has been performed using various tra...
| Publicado en: | Journal of Biomedical Informatics Vol. 103 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Mar2020
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| Acceso en línea: | Ver este registro en EBSCOhost |