In this paper (here) they suppose a "unified architecture for NLP" with deep neural networks with multitask learning
My problem is to understand the layered architecture in figure 1, see below:
- Is someone able to give me a concrete, reproducible example of how this architecture processing 3 sentences through their layers?
- What are the outputs after each layer?
- Why they choose which layer?
