Story Generation with Rich Details
Fangzhou Zhai, Vera Demberg, Alexander Koller · 2020
Automatically generated stories should be not only coherent, but also interesting.Thus apart from realizing a story line, the text also have to include rich details to engage the readers.We propose a model that features two different generation components: (1) an outliner, which proceeds the main story line to establish global coherence; and (2) a detailer, which supplies relevant details to the story in a locally coherent manner.Human evaluation show that our model substantially improves the informativeness of generated text while retaining its coherence, outperforming a number of baselines.