mlsanityData to 14 Oct 2026

Towards Inter-character Relationship-driven Story Generation

arXiv 2211.00676 ↗First posted 1 Nov 2022cs.CLcited by 11

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Abstract (arXiv)

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.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 27 of its 48 references that are in the map. First posted on arXiv 1 Nov 2022.

Builds on

27 of 48 references.

References · 27

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  3. 2018Hierarchical Neural Story Generationcited by 1,193
  4. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,077
  5. 2018Plan-And-Write: Towards Better Automatic Storytellingcited by 234
  6. 2017Why We Need New Evaluation Metrics for NLGcited by 233
  7. 2016A Persona-Based Neural Conversation Modelcited by 223
  8. 2019Strategies for Structuring Story Generationcited by 124
  9. 2020A Knowledge-Enhanced Pretraining Model for Commonsense Story Generationcited by 116
  10. 2020PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Trackingcited by 105
  11. 2020Content Planning for Neural Story Generation with Aristotelian Rescoringcited by 92
  12. 2017Event Representations for Automated Story Generation with Deep Neural Netscited by 63
15 more
  1. 2014Narrative Planning: Balancing Plot and Charactercited by 61
  2. 2020Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansionscited by 49
  3. 2021"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understandingcited by 48
  4. 2020Modeling Protagonist Emotions for Emotion-Aware Storytellingcited by 42
  5. 2019Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characterscited by 23
  6. 2019"My Way of Telling a Story": Persona based Grounded Story Generationcited by 17
  7. 2015Inferring Interpersonal Relations in Narrative Summariescited by 16
  8. 2020Cue Me In: Content-Inducing Approaches to Interactive Story Generationcited by 16
  9. 2022Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generationcited by 15
  10. 2018Controlling Personality-Based Stylistic Variation with Neural Natural Language Generatorscited by 14
  11. 2021Unsupervised Enrichment of Persona-grounded Dialog with Background Storiescited by 14
  12. 2021Telling Stories through Multi-User Dialogue by Modeling Character Relationscited by 13
  13. 2020Narrative Text Generation with a Latent Discrete Plancited by 12
  14. 2021Exploring Story Generation with Multi-task Objectives in Variational Autoencoderscited by 4
  15. 2020Generating Narrative Text in a Switching Dynamical Systemcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 1; 2024: 5; 2025: 3; 2026: 1.

11 papers.

  1. 2024What Makes a Good Story and How Can We Measure It? A Comprehensive Survey of Story Evaluationcited by 17
  2. 2023Affective and Dynamic Beam Search for Story Generationcited by 12
  3. 2022CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understandingcited by 7
  4. 2024Understanding Literary Texts by LLMs: A Case Study of Ancient Chinese Poetrycited by 4
  5. 2025Classifying Unreliable Narrators with Large Language Modelscited by 4
  6. 2024Returning to the Start: Generating Narratives with Related Endpointscited by 3
  7. 2024Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Playcited by 2
  8. 2025EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generationcited by 2
  9. 2024Generating Visual Stories with Grounded and Coreferent Characterscited by 1
  10. 2025Tinker Tales: Interactive Storytelling Framework for Early Childhood Narrative Development and AI Literacycited by 1
  11. 2026CASPER in the Machine: Insights into Character Variety in LLM-Generated Storiescited by 0