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Meta-Bootstrap Learner (MBL) was also proposed by the authors of CPL in<ref name=cpl2010 />. Meta-Bootstrap learner couples the training of multiple extraction techniques with a multi-view constraint, which requires the extractors to agree. It makes addition of coupling constraints on top of existing extraction algorithms, while treating them as black boxes, feasible. MBL assumes that the errors made by different extraction techniques are independent. Following is a quick summary of MBL.
Input: An ontology O, a set of extractors
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