论文标题
编剧：叙事引导的剧本生成
ScriptWriter: Narrative-Guided Script Generation
论文作者
论文摘要
即使我们的故事情节自动生成故事或脚本的系统，即使这仍然遥不可及，它也很有吸引力。在对话系统中，通过对话计划进行对话也是有用的。在本文中，我们解决了这些应用程序中涉及的关键问题 - 指导叙事的对话。拟议的模型编剧选择了适合上下文以及给定叙述的候选人中的最佳响应。它跟踪叙事中所说的话以及要说的话。叙事的作用与上下文（即先前的话语）不同，这通常用于当前的对话系统。由于此新应用程序的数据不可用，我们从电影网站构建了一个新的大规模数据收集GraphMovie，最终用户可以在观看电影时自由上传叙述。数据集上的实验结果表明，我们提出的基于叙述的方法显着优于仅将叙述用作一种背景的基准。
It is appealing to have a system that generates a story or scripts automatically from a story-line, even though this is still out of our reach. In dialogue systems, it would also be useful to drive dialogues by a dialogue plan. In this paper, we address a key problem involved in these applications -- guiding a dialogue by a narrative. The proposed model ScriptWriter selects the best response among the candidates that fit the context as well as the given narrative. It keeps track of what in the narrative has been said and what is to be said. A narrative plays a different role than the context (i.e., previous utterances), which is generally used in current dialogue systems. Due to the unavailability of data for this new application, we construct a new large-scale data collection GraphMovie from a movie website where end-users can upload their narratives freely when watching a movie. Experimental results on the dataset show that our proposed approach based on narratives significantly outperforms the baselines that simply use the narrative as a kind of context.
