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Exploiting graph kernels for high performance biomedical relation extraction
BACKGROUND: Relation extraction from biomedical publications is an important task in the area of semantic mining of text. Kernel methods for supervised relation extraction are often preferred over manual feature engineering methods, when classifying highly ordered structures such as trees and graphs...
Zapisane w:
| Wydane w: | J Biomed Semantics |
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| Główni autorzy: | , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BioMed Central
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5791373/ https://ncbi.nlm.nih.gov/pubmed/29382397 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13326-017-0168-3 |
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