Given a set of sentences S = {s i }; i ∈ [1 . . . N ], where each sentence s i contains both the entities, the task of relation extraction with distantly supervised dataset is to learn a function F r : F r (S, (e 1 , e 2 )) = 1 if relation r is true for pair(e 1 , e 2 ) 0 Otherwise PCNN:<cite> [Zeng et al., 2015]</cite> proposed the Piecewise Convolution Neural Network (PCNN), a successful model for distantly supervised relation extraction.