Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...

In this study, we propose an AW-LSTM approach based on a multi-task learning model. Figure 1 provides an overview of the framework. The principal architectural component of this model is the LSTM unit ...