Zhai, Fangzhou; Demberg, Vera; Koller, Alexander
Story Generation with Rich Details
Proceedings of the 28th International Conference on Computational Linguistics (CoLing 2020), International Committee on Computational Linguistics, pp. 2346-2351, Barcelona, Spain (Online), 2020.
Automatically generated stories need to be not only coherent, but also interesting. Apart from realizing a story line, the text also needs to include rich details to engage the readers. We propose a model that features two different generation components: an outliner, which proceeds the main story line to realize global coherence; a detailer, which supplies relevant details to the story in a locally coherent manner. Human evaluations show our model substantially improves the informativeness of generated text while retaining its coherence, outperforming various baselines.