In recent years, sequence to sequence learning techniques have achieved improvements in a variety of NLP tasks, such as machine translation ), text summarization (Nallapati et al., 2016) and dialogue systems (Serban et al., 2017).
the paraphrase generation can also be formulated as a sequence to sequence problem.