Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction

Deep Neural Networks (DNN), in particular, Convolutional Neural Networks (CNN), has recently achieved
state-of-art results for the task of Drug-Drug Interaction (DDI) extraction. Most CNN architectures incorporate a pooling
layer to reduce the dimensionality of the convolution layer output, preserving relevant features and removing
irrelevant details. All the previous CNN based systems for DDI extraction used max-pooling layers.