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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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer
2022-04-01
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| Серии: | Journal of King Saud University: Computer and Information Sciences |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S1319157820303736 |
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