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A pre-training and self-training approach for biomedical named entity recognition
Named entity recognition (NER) is a key component of many scientific literature mining tasks, such as information retrieval, information extraction, and question answering; however, many modern approaches require large amounts of labeled training data in order to be effective. This severely limits t...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7872256/ https://ncbi.nlm.nih.gov/pubmed/33561139 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0246310 |
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