Figure 1. Cocaine: The Predicted Accuracy of Individual Text-Mined Facts Involving Semantic Relation Stimulate .

Each directed arc from an entity A to an entity B in this figure should be interpreted as a statement “A stimulates B”, where, for example, A is cocaine and B is progesterone. The predicted accuracy of individual statements is indicated both in color and in width of the corresponding arc. Note that, for example, the relation between cocaine and progesterone was derived from multiple sentences, and different instances of extraction output had markedly different accuracy. Altogether we collected 3,910 individual facts involving cocaine. Because the same fact can be repeated in different sentences, only 1,820 facts out of 3,910 were unique. The facts cover 80 distinct semantic relations, out of which stimulate is just one example.