“Kurosawa”：一位编剧助理
"Kurosawa": A Script Writer's Assistant
AI总结：
本文提出AI编剧工作台KUROSAWA，利用4幕结构标注的1000个情节和1000个场景数据集微调GPT-3，实现从简短提示自动生成电影情节和剧本场景，并已在ErosNow平台应用。
摘要：
讲故事是娱乐产业的生命线——电影、电视节目和单口喜剧都需要故事。一个好的、扣人心弦的剧本是讲故事的生命线，需要创造力和资源投入。优秀的编剧很难找到，而且常常在巨大的时间压力下工作。因此，娱乐媒体正在积极寻求自动化。在本文中，我们提出了一个基于人工智能的编剧工作台，名为KUROSAWA，它解决了情节生成和剧本生成的任务。情节生成旨在给定一个提示（15-40个词）的情况下生成一个连贯且富有创造性的情节（600-800个词）。另一方面，剧本生成则是从一个简短的描述（15-40个词）中生成一个剧本格式的场景（200-500个词）。Kurosawa需要数据来训练。我们使用4幕式叙事结构来手动标注情节数据集。我们创建了一个包含1000个手动标注情节及其对应提示/故事线的数据集，以及一个包含1000个场景的金标准数据集，这些场景带有四个主要元素——场景标题、动作线、对话和角色名称——分别进行标注。我们使用上述数据集对GPT-3进行微调，以生成情节和场景。这些情节和场景首先经过评估，然后被大型知名媒体平台ErosNow的编剧使用。我们发布了标注数据集以及在这些数据集上训练的模型，作为自动电影情节和剧本生成的工作基准。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
