To compare with TextRunner, we tested four different ways to generate training examples from Wikipedia for learning a CRF extractor.
positive and/or negative examples are selected by TextRunner's hand-written rules (tr for short), by WOE's heuristic of matching sentences with infoboxes (w for short), or randomly (r for short).