@inproceedings{van-stegeren-theune-2019-narrative,
title = "{N}arrative {G}eneration in the {W}ild: {M}ethods from {N}a{N}o{G}en{M}o",
author = {van Stegeren, Judith and
Theune, Mari{\"e}t},
editor = "Ferraro, Francis and
Huang, Ting-Hao {`}Kenneth{'} and
Lukin, Stephanie M. and
Mitchell, Margaret",
booktitle = "Proceedings of the Second Workshop on Storytelling",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3407",
doi = "10.18653/v1/W19-3407",
pages = "65--74",
abstract = "In text generation, generating long stories is still a challenge. Coherence tends to decrease rapidly as the output length increases. Especially for generated stories, coherence of the narrative is an important quality aspect of the output text. In this paper we examine how narrative coherence is attained in the submissions of NaNoGenMo 2018, an online text generation event where participants are challenged to generate a 50,000 word novel. We list the main approaches that were used to generate coherent narratives and link them to scientific literature. Finally, we give recommendations on when to use which approach.",
}
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%0 Conference Proceedings
%T Narrative Generation in the Wild: Methods from NaNoGenMo
%A van Stegeren, Judith
%A Theune, Mariët
%Y Ferraro, Francis
%Y Huang, Ting-Hao ‘Kenneth’
%Y Lukin, Stephanie M.
%Y Mitchell, Margaret
%S Proceedings of the Second Workshop on Storytelling
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F van-stegeren-theune-2019-narrative
%X In text generation, generating long stories is still a challenge. Coherence tends to decrease rapidly as the output length increases. Especially for generated stories, coherence of the narrative is an important quality aspect of the output text. In this paper we examine how narrative coherence is attained in the submissions of NaNoGenMo 2018, an online text generation event where participants are challenged to generate a 50,000 word novel. We list the main approaches that were used to generate coherent narratives and link them to scientific literature. Finally, we give recommendations on when to use which approach.
%R 10.18653/v1/W19-3407
%U https://aclanthology.org/W19-3407
%U https://doi.org/10.18653/v1/W19-3407
%P 65-74
Markdown (Informal)
[Narrative Generation in the Wild: Methods from NaNoGenMo](https://aclanthology.org/W19-3407) (van Stegeren & Theune, Story-NLP 2019)
ACL