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Semi-automatic semantic annotation of PubMed Queries: a study on quality, efficiency, satisfaction
Information processing algorithms require significant amounts of annotated data for training and testing. The availability of such data is often hindered by the complexity and high cost of production. In this paper, we investigate the benefits of a state-of-the-art tool to help with the semantic ann...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3063330/ https://ncbi.nlm.nih.gov/pubmed/21094696 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2010.11.001 |
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