We propose the task of Narrative Reordering (NAREOR) which involves rewriting a given story in a different narrative order while preserving its plot. We present a dataset, NAREORC, with human rewritings of stories within ROCStories in non-linear orders, and conduct a detailed analysis of it. Further, we propose novel task-specific training methods with suitable evaluation metrics. We perform experiments on NAREORC using state-of-the-art models such as BART and T5 and conduct extensive automatic and human evaluations. We demonstrate that NAREOR is a challenging task with potential for further exploration.
翻译:我们提议重新排序(NAREOR)的任务,它涉及在保存其图案的同时以不同的叙事顺序重写某一故事。我们提出了一个数据集(NAREORC),用非线性命令将非线性命令中故事的文稿改写成人文,并对它进行详细分析。此外,我们提出了带有适当评价指标的新的任务特定培训方法。我们使用最新模型(如BART和T5)在NAREORC进行实验,并进行广泛的自动和人文评估。我们证明NAREOR是一项具有进一步探索潜力的艰巨任务。