In the seq2seq approach, the decoder network therefore only has to keep track of where it is in the output, and the content to generate can be transformed from the relevant parts in the source via the attention mechanism .
in conversation response generation, the prompt turn may be short and general (e.g., "what do you have planned tonight"), while an appropriate response may be long and informative.