PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking
Article Status
Published
Authors/contributors
- Rashkin, Hannah (Author)
- Celikyilmaz, Asli (Author)
- Choi, Yejin (Author)
- Gao, Jianfeng (Author)
Title
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking
Date
2020
Proceedings Title
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Conference Name
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Place
Online
Publisher
Association for Computational Linguistics
Pages
4274-4295
Language
en
Short Title
PlotMachines
Accessed
01/05/2024, 21:58
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: rashkin2020
<标题>: 情节机器：基于大纲的生成与动态情节状态跟踪
<AI Smry>: PlotMachines is presented, a neural narrative model that learns to transform an outline into a coherent story by tracking the dynamic plot states, and is enriched with high-level discourse structure so that the model can learn different styles of writing corresponding to different parts of the narrative.
Citation
Rashkin, H., Celikyilmaz, A., Choi, Y., & Gao, J. (2020). PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 4274–4295. https://doi.org/10.18653/v1/2020.emnlp-main.349
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