Abstract: A computer-implemented method for employing input-conditioned filters to perform natural language processing tasks using a convolutional neural network architecture includes receiving one or more inputs, generating one or more sets of filters conditioned on respective ones of the one or more inputs by implementing one or more encoders to encode the one or more inputs into one or more respective hidden vectors, and implementing one or more decoders to determine the one or more sets of filters based on the one or more hidden vectors, and performing adaptive convolution by applying the one or more sets of filters to respective ones of the one or more inputs to generate one or more representations.

Abstract: A computer-implemented method, computer program product, and computer processing system are provided for word embedding. The method includes receiving, by a processor device, a word embedding matrix. The method further includes generating, by a processor device, an average pooling vector and a max pooling vector, based on the word embedding matrix. The method also includes generating, by the processor device, a prediction by applying a Multi-Layer Perceptron (MLP) to the average pooling vector and the max pooling vector.

Abstract: A system for electronic message classification and delivery using a neural network architecture includes one or more computing devices associated with one or more users, and at least one computer processing system in communication with one or more computing devices over at least one network. The at least one computer processing system includes at least one processor operatively coupled to a memory device and configured to execute program code stored on the memory device to receive one or more inputs associated with one or more e-mails corresponding to the one or more users across the at least one network, classify the one or more e-mails by performing natural language processing based on one or more sets of filters conditioned on respective ones of the one or more inputs, and permit the one or more users access to the one or more classified e-mails via the one or more computing devices.

Abstract: A computer-implemented method, computer program product, and computer processing system are provided for word embedding. The method includes receiving, by a processor device, a word embedding matrix. The method further includes generating, by a processor device, an average pooling vector and a max pooling vector, based on the word embedding matrix. The method also includes generating, by the processor device, a prediction by applying a Multi-Layer Perceptron (MLP) to the average pooling vector and the max pooling vector.

Abstract: A computer-implemented method for employing input-conditioned filters to perform natural language processing tasks using a convolutional neural network architecture includes receiving one or more inputs, generating one or more sets of filters conditioned on respective ones of the one or more inputs by implementing one or more encoders to encode the one or more inputs into one or more respective hidden vectors, and implementing one or more decoders to determine the one or more sets of filters based on the one or more hidden vectors, and performing adaptive convolution by applying the one or more sets of filters to respective ones of the one or more inputs to generate one or more representations.

Abstract: A system for electronic message classification and delivery using a neural network architecture includes one or more computing devices associated with one or more users, and at least one computer processing system in communication with one or more computing devices over at least one network. The at least one computer processing system includes at least one processor operatively coupled to a memory device and configured to execute program code stored on the memory device to receive one or more inputs associated with one or more e-mails corresponding to the one or more users across the at least one network, classify the one or more e-mails by performing natural language processing based on one or more sets of filters conditioned on respective ones of the one or more inputs, and permit the one or more users access to the one or more classified e-mails via the one or more computing devices.