We show that the choice of probability space puts constraints on the distant supervision assumptions that can be captured, and that all three choices interact, leading to large differences in performance.
we provide a framework for understanding different distant supervision assumptions and the corresponding trade-off among the coverage, quality and strength of distant supervision signal.