We propose a framework, which contains a generator and an evaluator, called RbM (Reinforced by Matching).
for the generator we adopt the Seq2Seq architecture with attention and copy mechanism (Bahdanau et al., 2015;See et al., 2017), and for the evaluator we adopt the decomposable attention-based deep matching model (Parikh et al., 2016).