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Computer Science > Computation and Language

arXiv:2211.00676 (cs)
[Submitted on 1 Nov 2022]

Title:Towards Inter-character Relationship-driven Story Generation

Authors:Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
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Abstract:In this paper, we introduce the task of modeling interpersonal relationships for story generation. For addressing this task, we propose Relationships as Latent Variables for Story Generation, (ReLiSt). ReLiSt generates stories sentence by sentence and has two major components - a relationship selector and a story continuer. The relationship selector specifies a latent variable to pick the relationship to exhibit in the next sentence and the story continuer generates the next sentence while expressing the selected relationship in a coherent way. Our automatic and human evaluations demonstrate that ReLiSt is able to generate stories with relationships that are more faithful to desired relationships while maintaining the content quality. The relationship assignments to sentences during inference bring interpretability to ReLiSt.
Comments: EMNLP 2022
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2211.00676 [cs.CL]
  (or arXiv:2211.00676v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2211.00676

Submission history

From: Anvesh Rao Vijjini [view email]
[v1] Tue, 1 Nov 2022 18:04:29 UTC (8,095 KB)
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