Research Article
Refining Automatically Extracted Knowledge Bases Using Crowdsourcing
Algorithm 1
Rank-based knowledge refining.
Input: A set of extracted candidate facts , semantic constraints , a budge , a threshold | Output: Refined knowledge base | Initialize with machine based estimations | Calculate scores using Eq. (15) | Calculate scores using Eq. (17) | Calculate using Eq. (18) | Rank candidate facts by scores and select top instances from to conduct crowdsourcing | | facts with a confirm from the crowd | |
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