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Crowdsourced dataset to study the generation and impact of text highlighting in classification tasks
OBJECTIVES: Text classification is a recurrent goal in machine learning projects and a typical task in crowdsourcing platforms. Hybrid approaches, leveraging crowdsourcing and machine learning, work better than either in isolation and help to reduce crowdsourcing costs. One way to mix crowd and mach...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925844/ https://www.ncbi.nlm.nih.gov/pubmed/31864400 http://dx.doi.org/10.1186/s13104-019-4858-z |