Although neural network-based models have achieved good performance on this task recently, they tend to suffer from two problems: (1) They require a large amount of data for training. For example,<cite> Filippova et al. (2015)</cite> used close to two Figure 1 : Examples of in-domain and out-ofdomain results by a standard abstractive sequenceto-sequence model trained on the Gigaword corpus.