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Research proposal content extraction using natural language processing and semi-supervised clustering: A demonstration and comparative analysis
Funding institutions often solicit text-based research proposals to evaluate potential recipients. Leveraging the information contained in these documents could help institutions understand the supply of research within their domain. In this work, an end-to-end methodology for semi-supervised docume...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083066/ https://www.ncbi.nlm.nih.gov/pubmed/37101971 http://dx.doi.org/10.1007/s11192-023-04689-3 |