Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models
December 20, 2022 ยท Declared Dead ยท ๐ International Conference on Language Resources and Evaluation
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Authors
Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan
arXiv ID
2212.10471
Category
cs.CL: Computation & Language
Citations
5
Venue
International Conference on Language Resources and Evaluation
Last Checked
5 months ago
Abstract
Previous work has demonstrated the effectiveness of planning for story generation exclusively in a monolingual setting focusing primarily on English. We consider whether planning brings advantages to automatic story generation across languages. We propose a new task of cross-lingual story generation with planning and present a new dataset for this task. We conduct a comprehensive study of different plans and generate stories in several languages, by leveraging the creative and reasoning capabilities of large pre-trained language models. Our results demonstrate that plans which structure stories into three acts lead to more coherent and interesting narratives, while allowing to explicitly control their content and structure.
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