It is therefore indispensable to minimize the cost of data annotation.
neural sequence-to-sequence (Seq2Seq) models have shown remarkable success in many areas of natural language processing and specifically in natural language generation tasks, including text compression (Rush et al., 2015;Filippova et al., 2015;Yu et al., 2018;Kamigaito et al., 2018).