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Several authors have developed relation extraction methods for automatically learning or refining taxonomies from large text corpora such as the Web. However, without appropriate post-processing, such taxonomies are often inconsistent (e.g. they contain cycles). A standard approach to repairing such inconsistencies is to identify a minimally consistent subset of the extracted facts. For example, we could aim to minimize the sum of the confidence weights of the facts that are removed fordoi:10.1145/2663792.2663804 dblp:conf/cikm/MerhejSCBAD14 fatcat:2peu4i4v7fg2dkeco3hme35f7i