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.- Anthology ID:
- W19-3407
- Volume:
- Proceedings of the Second Workshop on Storytelling
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Francis Ferraro, Ting-Hao ‘Kenneth’ Huang, Stephanie M. Lukin, Margaret Mitchell
- Venue:
- Story-NLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 65–74
- Language:
- URL:
- https://aclanthology.org/W19-3407
- DOI:
- 10.18653/v1/W19-3407
- Cite (ACL):
- Judith van Stegeren and Mariët Theune. 2019. Narrative Generation in the Wild: Methods from NaNoGenMo. In Proceedings of the Second Workshop on Storytelling, pages 65–74, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Narrative Generation in the Wild: Methods from NaNoGenMo (van Stegeren & Theune, Story-NLP 2019)
- PDF:
- https://preview.aclanthology.org/corrections-2024-07/W19-3407.pdf
- Code
- jd7h/narrative-gen-nanogenmo18