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On detecting urgency in short crisis messages using minimal supervision and transfer learning
Humanitarian disasters have been on the rise in recent years due to the effects of climate change and socio-political situations such as the refugee crisis. Technology can be used to best mobilize resources such as food and water in the event of a natural disaster, by semi-automatically flagging twe...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341028/ https://www.ncbi.nlm.nih.gov/pubmed/32834866 http://dx.doi.org/10.1007/s13278-020-00670-7 |