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Refining Automatically Extracted Knowledge Bases Using Crowdsourcing
Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5446892/ https://ncbi.nlm.nih.gov/pubmed/28588611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/4092135 |
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