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A neural joint model for entity and relation extraction from biomedical text
BACKGROUND: Extracting biomedical entities and their relations from text has important applications on biomedical research. Previous work primarily utilized feature-based pipeline models to process this task. Many efforts need to be made on feature engineering when feature-based models are employed....
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5374588/ https://ncbi.nlm.nih.gov/pubmed/28359255 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1609-9 |
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