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Semi-supervised learning of causal relations in biomedical scientific discourse
BACKGROUND: The increasing number of daily published articles in the biomedical domain has become too large for humans to handle on their own. As a result, bio-text mining technologies have been developed to improve their workload by automatically analysing the text and extracting important knowledg...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304242/ https://www.ncbi.nlm.nih.gov/pubmed/25559746 http://dx.doi.org/10.1186/1475-925X-13-S2-S1 |