mlsanityData to 14 Oct 2026

Psychology-guided Controllable Story Generation

arXiv 2210.07493 ↗First posted 14 Oct 2022cs.CL cs.AIcited by 2

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Abstract (arXiv)

Controllable story generation is a challenging task in the field of NLP, which has attracted increasing research interest in recent years. However, most existing works generate a whole story conditioned on the appointed keywords or emotions, ignoring the psychological changes of the protagonist. Inspired by psychology theories, we introduce global psychological state chains, which include the needs and emotions of the protagonists, to help a story generation system create more controllable and well-planned stories. In this paper, we propose a Psychology-guIded Controllable Story Generation System (PICS) to generate stories that adhere to the given leading context and desired psychological state chains for the protagonist. Specifically, psychological state trackers are employed to memorize the protagonist's local psychological states to capture their inner temporal relationships. In addition, psychological state planners are adopted to gain the protagonist's global psychological states for story planning. Eventually, a psychology controller is designed to integrate the local and global psychological states into the story context representation for composing psychology-guided stories. Automatic and manual evaluations demonstrate that PICS outperforms baselines, and each part of PICS shows effectiveness for writing stories with more consistent psychological changes.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 37 of its 58 references that are in the map. First posted on arXiv 14 Oct 2022.

Builds on

37 of 58 references.

References · 37

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25 more
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Citing papers per year: 2023: 2.

2 papers.

  1. 2023GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidencecited by 14
  2. 2023Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learningcited by 13