Hierarchical Multi-Granularity Attention- Based Hybrid Neural Network for Text Classification
Neural network-based approaches have become the driven forces for Natural Language Processing (NLP) tasks.Conventionally, there are two mainstream neural architectures for NLP tasks: the recurrent neural network (RNN) and the convolution neural network (ConvNet).RNNs are good at modeling long-term dependencies over input texts, but preclude paralle