Extraction of semantic biomedical relations from text using conditional random fields
<p>Abstract</p> <p>Background</p> <p>The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of automated information extraction tools. Named entity recognition of well-defined objects, such as...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2008-04-01
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| Серія: | BMC Bioinformatics |
| Онлайн доступ: | http://www.biomedcentral.com/1471-2105/9/207 |
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