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Learning an enriched representation from unlabeled data for protein-protein interaction extraction
BACKGROUND: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used with great success in this task but they tend to suffer from data sparseness because of their restriction to obtain knowle...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3166043/ https://ncbi.nlm.nih.gov/pubmed/20406505 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-S2-S7 |
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