Recent work tackled the training problem using variants of reinforcement learning (RL) (Suhr and Artzi, 2018;Liang et al., 2018) or maximum marginal likelihood (MML) (Guu et al., 2017;Goldman et al., 2018).
improving beam search has been investigated by proposing specialized objectives (Wiseman and Rush, 2016), stopping criteria , and using continuous relaxations (Goyal et al., 2018).