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Active learning for ontological event extraction incorporating named entity recognition and unknown word handling
BACKGROUND: Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled data, which are required for state-of-the-art supervised learning systems. Acti...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4849099/ https://www.ncbi.nlm.nih.gov/pubmed/27127603 http://dx.doi.org/10.1186/s13326-016-0059-z |