**4. Experiments**

To provide a comprehensive overview of the strengths of the pipeline, it was separately evaluated on benchmark task-specific datasets. All the experiments were performed on a Linux Intel(R) Core(TM) i5-7440HQ CPU system with a RAM capacity of GB; the GPU was an NVidia GeForce 980 with 4 GB memory; and the operating system was Ubuntu version 16.04. The entire pipeline was implemented in Python 3.6 with the Pytorch deep learning library. The datasets and evaluation metrics used for evaluating our pipeline are explained in the following sections.
