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Automated Storytelling via Causal, Commonsense Plot Ordering

arXiv 2009.00829 ↗First posted 2 Sep 2020cs.CL cs.AIcited by 38

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Abstract (arXiv)

Automated story plot generation is the task of generating a coherent sequence of plot events. Causal relations between plot events are believed to increase the perception of story and plot coherence. In this work, we introduce the concept of soft causal relations as causal relations inferred from commonsense reasoning. We demonstrate C2PO, an approach to narrative generation that operationalizes this concept through Causal, Commonsense Plot Ordering. Using human-participant protocols, we evaluate our system against baseline systems with different commonsense reasoning reasoning and inductive biases to determine the role of soft causal relations in perceived story quality. Through these studies we also probe the interplay of how changes in commonsense norms across storytelling genres affect perceptions of story quality.

Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Sep 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 12; 2023: 7; 2024: 3; 2025: 1; 2026: 2.

38 papers.

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  1. 2021Symbolic Knowledge Distillation: from General Language Models to Commonsense Modelscited by 270
  2. 2023The Next Chapter: A Study of Large Language Models in Storytellingcited by 58
  3. 2021It's not Rocket Science : Interpreting Figurative Language in Narrativescited by 39
  4. 2021Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoningcited by 29
  5. 2021Automatic Story Generation: Challenges and Attemptscited by 28
  6. 2024Creating Suspenseful Stories: Iterative Planning with Large Language Modelscited by 22
  7. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 21
  8. 2023ReelFramer: Human-AI Co-Creation for News-to-Video Translationcited by 19
  9. 2021GraphPlan: Story Generation by Planning with Event Graphcited by 18
  10. 2022Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generationcited by 15
  11. 2022Go Back in Time: Generating Flashbacks in Stories with Event Temporal Promptscited by 15
  12. 2021Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learningcited by 14
26 more
  1. 2022Robust Preference Learning for Storytelling via Contrastive Reinforcement Learningcited by 14
  2. 2023GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidencecited by 14
  3. 2021Telling Stories through Multi-User Dialogue by Modeling Character Relationscited by 13
  4. 2023GD-COMET: A Geo-Diverse Commonsense Inference Modelcited by 13
  5. 2021COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completioncited by 12
  6. 2021Guiding Neural Story Generation with Reader Modelscited by 12
  7. 2024Failure Modes of LLMs for Causal Reasoning on Narrativescited by 12
  8. 2021Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Storiescited by 11
  9. 2023LaMPP: Language Models as Probabilistic Priors for Perception and Actioncited by 11
  10. 2023Event Causality Is Key to Computational Story Understandingcited by 11
  11. 2021Do Language Models Perform Generalizable Commonsense Inference?cited by 10
  12. 2022What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generationcited by 8
  13. 2021Fabula Entropy Indexing: Objective Measures of Story Coherencecited by 7
  14. 2022Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Frameworkcited by 6
  15. 2022Neural Story Planningcited by 5
  16. 2022COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activitiescited by 4
  17. 2022kogito: A Commonsense Knowledge Inference Toolkitcited by 4
  18. 2026Narrix: Remixing Narrative Strategies from Examples for Story Writingcited by 4
  19. 2021Automated Story Generation as Question-Answeringcited by 3
  20. 2022Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledgecited by 3
  21. 2022Psychology-guided Controllable Story Generationcited by 2
  22. 2024Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Networkcited by 2
  23. 2025Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agentscited by 2
  24. 2022Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkitcited by 1
  25. 2023Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Modelcited by 1
  26. 2026Evaluating Whether LLMs Can Reliably Connect the DOTs?cited by 0