Therefore, we leverage the strong rewriting ability of the seq2seq model to generate more faithful and informative summaries.
since the input of our system consists of both the sentence and soft template, we use the concatenation function 3 to combine the hidden states of the sentence and template: The combined hidden states are fed into the prevailing attentional RNN decoder  to generate the decoding hidden state at the position t: where y t−1 is the previous output summary word.