mlsanityData to 14 Oct 2026

Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation

arXiv 2204.10703 ↗First posted 22 Apr 2022cs.CLcited by 15

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Abstract (arXiv)

Endowing the protagonist with a specific personality is essential for writing an engaging story. In this paper, we aim to control the protagonist's persona in story generation, i.e., generating a story from a leading context and a persona description, where the protagonist should exhibit the specified personality through a coherent event sequence. Considering that personas are usually embodied implicitly and sparsely in stories, we propose a planning-based generation model named CONPER to explicitly model the relationship between personas and events. CONPER first plans events of the protagonist's behavior which are motivated by the specified persona through predicting one target sentence, then plans the plot as a sequence of keywords with the guidance of the predicted persona-related events and commonsense knowledge, and finally generates the whole story. Both automatic and manual evaluation results demonstrate that CONPER outperforms state-of-the-art baselines for generating more coherent and persona-controllable stories.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 33 of its 56 references that are in the map. First posted on arXiv 22 Apr 2022.

Builds on

33 of 56 references.

References · 33

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  4. 2019The Curious Case of Neural Text Degenerationcited by 2,916
  5. 2018Hierarchical Neural Story Generationcited by 1,193
  6. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,077
  7. 2016ConceptNet 5.5: An Open Multilingual Graph of General Knowledgecited by 1,067
  8. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 828
  9. 2019Plug and Play Language Models: A Simple Approach to Controlled Text Generationcited by 799
  10. 2019CTRL: A Conditional Transformer Language Model for Controllable Generationcited by 762
  11. 2017Convolutional Sequence to Sequence Learningcited by 552
  12. 2018Plan-And-Write: Towards Better Automatic Storytellingcited by 234
21 more
  1. 2019Strategies for Structuring Story Generationcited by 124
  2. 2020A Knowledge-Enhanced Pretraining Model for Commonsense Story Generationcited by 116
  3. 2020PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Trackingcited by 105
  4. 2020Content Planning for Neural Story Generation with Aristotelian Rescoringcited by 92
  5. 2019A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Datacited by 74
  6. 2020MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Modelscited by 74
  7. 2019Target-Guided Open-Domain Conversationcited by 66
  8. 2014Narrative Planning: Balancing Plot and Charactercited by 61
  9. 2018Story Ending Generation with Incremental Encoding and Commonsense Knowledgecited by 60
  10. 2020UNION: An Unreferenced Metric for Evaluating Open-ended Story Generationcited by 60
  11. 2018Polite Dialogue Generation Without Parallel Datacited by 59
  12. 2020Learning an Unreferenced Metric for Online Dialogue Evaluationcited by 52
  13. 2021"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understandingcited by 48
  14. 2020Modeling Protagonist Emotions for Emotion-Aware Storytellingcited by 42
  15. 2020Automated Storytelling via Causal, Commonsense Plot Orderingcited by 38
  16. 2020Keyword-Guided Neural Conversational Modelcited by 21
  17. 2017Dynamic Entity Representations in Neural Language Modelscited by 19
  18. 2019"My Way of Telling a Story": Persona based Grounded Story Generationcited by 17
  19. 2019Improving Neural Story Generation by Targeted Common Sense Groundingcited by 16
  20. 2020Cue Me In: Content-Inducing Approaches to Interactive Story Generationcited by 16
  21. 2020Plan ahead: Self-Supervised Text Planning for Paragraph Completion Taskcited by 13

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Cited by year

Citing papers per year: 2022: 3; 2023: 7; 2024: 4; 2025: 1.

15 papers.

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  1. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 22
  2. 2023PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narrativescited by 19
  3. 2023Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learningcited by 13
  4. 2023Affective and Dynamic Beam Search for Story Generationcited by 12
  5. 2024A Character-Centric Creative Story Generation via Imaginationcited by 12
  6. 2022Towards Inter-character Relationship-driven Story Generationcited by 11
  7. 2023DeltaScore: Fine-Grained Story Evaluation with Perturbationscited by 9
  8. 2023Planning with Logical Graph-based Language Model for Instruction Generationcited by 4
  9. 2024From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agentcited by 4
  10. 2024Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generationcited by 2
  11. 2024Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Playcited by 2
  12. 2025Tinker Tales: Interactive Storytelling Framework for Early Childhood Narrative Development and AI Literacycited by 1
3 more
  1. 2022A Benchmark for Understanding and Generating Dialogue between Characters in Storiescited by 0
  2. 2023Re3Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-trainingcited by 0
  3. 2023ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthologycited by 0