In this paper, we propose a novel model that employs a collaborative curriculum learning framework to reduce the effects of mislabelled data.
we firstly propose an internal self-attention mechanism between the convolution operations in convolutional neural networks (CNNs) to learn a better sentence representation from the noisy inputs.