We introduce the task of changing the narrative point of view, where characters are assigned a narrative perspective that is different from the one originally used by the writer. The resulting shift in the narrative point of view alters the reading experience and can be used as a tool in fiction writing or to generate types of text ranging from educational to self-help and self-diagnosis. We introduce a benchmark dataset containing a wide range of types of narratives annotated with changes in point of view from deictic (first or second person) to anaphoric (third person) and describe a pipeline for processing raw text that relies on a neural architecture for mention selection. Evaluations on the new benchmark dataset show that the proposed architecture substantially outperforms the baselines by generating mentions that are less ambiguous and more natural.

我们介绍了更改叙事视角的任务，其中为角色分配了与作家最初使用的叙事视角不同的叙事视角。叙事观点的由此产生的变化改变了阅读体验，可以用作小说写作的工具或生成从教育到自助和自我诊断的文本类型。我们引入了一个基准数据集，其中包含各种各样的叙述类型，这些叙述类型的注释从观点（第一或第二人称视角）到照应（第三人称视角）发生了变化，并描述了用于处理依赖于神经体系结构的原始文本的管道选择。