One common point in all the approaches yet has been the use of only textual features available in the dataset. Our model not only incorporates textual features, modeled using BiLSTM and augmented with an attention mechanism, but also considers related images for the task. 
 Question: What are the differences with previous applications of neural networks for this task?
This approach considers related images