This paper presents WOE (Wikipedia-based Open Extractor), the first system that autonomously transfers knowledge from random editors' effort of collaboratively editing Wikipedia to train an open information extractor.
wOE generates relation-specific training examples by matching Infobox 1 attribute values to corresponding sentences (as done in Kylin (wu and weld, 2007) and Luchs (Hoffmann et al., 2010)), but wOE abstracts these examples to relationindependent training data to learn an unlexicalized extractor, akin to that of TextRunner.