COLING 2020main7 citations
Story Generation with Rich Details
Fangzhou Zhai, Vera Demberg, Alexander Koller
Abstract
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.
BibTeX
@inproceedings{zhai-etal-2020-story,
title = "Story Generation with Rich Details",
author = "Zhai, Fangzhou and
Demberg, Vera and
Koller, Alexander",
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.212/",
doi = "10.18653/v1/2020.coling-main.212",
pages = "2346--2351"
}