@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",
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."
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%0 Conference Proceedings
%T Story Generation with Rich Details
%A Zhai, Fangzhou
%A Demberg, Vera
%A Koller, Alexander
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F zhai-etal-2020-story
%X 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.
%R 10.18653/v1/2020.coling-main.212
%U https://aclanthology.org/2020.coling-main.212/
%U https://doi.org/10.18653/v1/2020.coling-main.212
%P 2346-2351
Markdown (Informal)
[Story Generation with Rich Details](https://aclanthology.org/2020.coling-main.212/) (Zhai et al., COLING 2020)
ACL
- Fangzhou Zhai, Vera Demberg, and Alexander Koller. 2020. Story Generation with Rich Details. In Proceedings of the 28th International Conference on Computational Linguistics, pages 2346–2351, Barcelona, Spain (Online). International Committee on Computational Linguistics.