Therefore, we leverage the strong rewriting ability of the seq2seq model to generate more faithful and informative summaries.
since a soft template r can also be regarded as a readable concise sentence, we use the same BiRNN encoder to convert it into hidden states In Retrieve, the template candidates are ranked according to the text similarity between the corresponding indexed sentences and the input sentence.