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"Kurosawa": A Script Writer's Assistant

arXiv 2308.03122 ↗First posted 6 Aug 2023cs.CLcited by 0

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Abstract (arXiv)

Storytelling is the lifeline of the entertainment industry -- movies, TV shows, and stand-up comedies, all need stories. A good and gripping script is the lifeline of storytelling and demands creativity and resource investment. Good scriptwriters are rare to find and often work under severe time pressure. Consequently, entertainment media are actively looking for automation. In this paper, we present an AI-based script-writing workbench called KUROSAWA which addresses the tasks of plot generation and script generation. Plot generation aims to generate a coherent and creative plot (600-800 words) given a prompt (15-40 words). Script generation, on the other hand, generates a scene (200-500 words) in a screenplay format from a brief description (15-40 words). Kurosawa needs data to train. We use a 4-act structure of storytelling to annotate the plot dataset manually. We create a dataset of 1000 manually annotated plots and their corresponding prompts/storylines and a gold-standard dataset of 1000 scenes with four main elements -- scene headings, action lines, dialogues, and character names -- tagged individually. We fine-tune GPT-3 with the above datasets to generate plots and scenes. These plots and scenes are first evaluated and then used by the scriptwriters of a large and famous media platform ErosNow. We release the annotated datasets and the models trained on these datasets as a working benchmark for automatic movie plot and script generation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 26 references that are in the map. First posted on arXiv 6 Aug 2023.

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13 of 26 references.

References · 13

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2018Hierarchical Neural Story Generationcited by 1,193
  3. 2021MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontierscited by 470
  4. 2016Deep Reinforcement Learning for Dialogue Generationcited by 288
  5. 2016Visual Storytellingcited by 176
  6. 2019Strategies for Structuring Story Generationcited by 124
  7. 2020PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Trackingcited by 105
  8. 2019Proactive Human-Machine Conversation with Explicit Conversation Goalscited by 88
  9. 2019Target-Guided Open-Domain Conversationcited by 66
  10. 2014Narrative Planning: Balancing Plot and Charactercited by 61
  11. 2017Story Generation from Sequence of Independent Short Descriptionscited by 26
  12. 2016Chinese Poetry Generation with Planning based Neural Networkcited by 22
1 more
  1. 2020ScriptWriter: Narrative-Guided Script Generationcited by 15

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