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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Detalles Bibliográficos
Autores principales: Li, Chunhua, Zhao, Pengpeng, Sheng, Victor S., Xian, Xuefeng, Wu, Jian, Cui, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446892/
https://www.ncbi.nlm.nih.gov/pubmed/28588611
http://dx.doi.org/10.1155/2017/4092135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446892/
https://www.ncbi.nlm.nih.gov/pubmed/28588611
http://dx.doi.org/10.1155/2017/4092135

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