The extractor, on the other hand, applies an actor-critic RL algorithm on top of a pointer network.
bERT+MLP+Pref significantly outperforms (p < 0.05) all the other models that do not use bERT+MLP, as well as the metrics that rely on reference summaries (see Table 1).