As a consequence the model has little freedom in discovering and concentrating on some natural label order.
• Sequence Generation Model (SGM) (Yang et al., 2018) which trains the RNN model similar to seq2seq-RNN but uses a new decoder structure that computes a weighted global embedding based on all labels as opposed to just the top one at each timestep.