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OGER++: hybrid multi-type entity recognition
BACKGROUND: We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus-based disambiguation component. The annotator us...
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| Gepubliceerd in: | J Cheminform |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer International Publishing
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6689863/ https://ncbi.nlm.nih.gov/pubmed/30666476 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-018-0326-3 |
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