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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689863/ https://www.ncbi.nlm.nih.gov/pubmed/30666476 http://dx.doi.org/10.1186/s13321-018-0326-3 |