Before revision:  Our experiments across three different prediction tasks demonstrate the effectiveness of our model compared to existing state-of-the-art systems. Our model is robust to both observational and instructional noise, and lends itself to easy interpretation through visualization of intermediate outputs.
After revision:  This design choice provides interpretability of learned intermediate outputs. Experiments across three tasks demonstrate that our model achieves superior performance, with a 17