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Semi-supervised method for biomedical event extraction
BACKGROUND: Biomedical extraction based on supervised machine learning still faces the problem that a limited labeled dataset does not saturate the learning method. Many supervised learning algorithms for bio-event extraction have been affected by the data sparseness. METHODS: In this study, a semi-...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2013
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3909242/ https://ncbi.nlm.nih.gov/pubmed/24565105 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1477-5956-11-S1-S17 |
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