A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
Table 5: Automatic evaluations of key components.
['Models', 'BLEU']
In this section, we conduct a series of experiments to evaluate the contributions of our key components. The Seq2Seq model is scored the lowest according to BLEU. With the skeleton extraction module, the BLEU score is slightly improved, which suggests that the model starts to learn the connection of longer segments. Finally, with reinforcement learning, the BLEU score significantly overpasses the Seq2Seq model by 40%.