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Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification
BACKGROUND: Biomedical event extraction is one of the key tasks in biomedical text mining, supporting various applications such as database curation and hypothesis generation. Several systems, some of which have been applied at a large scale, have been introduced to solve this task. Past studies hav...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864999/ https://www.ncbi.nlm.nih.gov/pubmed/27175227 http://dx.doi.org/10.1186/s13326-016-0070-4 |