Before revision:  Our results show that the multi-task model outperformed its single-task counterpartand also, training with additional web-resources showed further performance boost. Furthermore , we show that the attention layer can be used as a guide to explain the model predictions  by showcasing the words in a tweet that are deemed important in the classification process.
After revision:  Our results show that the multi-task model outperformed its single task counterpart. For the qualitative evaluation of interpretability , we show that the attention layer can be used as a guide to explain the model predictions by showcasing the words in a tweet that are deemed important in the classification process.