Rule extraction from scientific texts: Evaluation in the specialty of gynecology
Due to the considerable increase in freely available data (especially on the Web), extracting relevant information from textual content is a critical challenge. Most of the available data is embedded in unstructured texts and is not linked to formalized knowledge structures such as ontologies or rul...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2022-04-01
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| coleção: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1319157820303736 |
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