有什么新内容？识别叙事中新事件的展开
Whats New? Identifying the Unfolding of New Events in Narratives
AI总结：
本文提出叙事中新事件自动识别任务，将事件表示为主谓宾三元组并结合语篇语境与常识推理判断其新旧，构建句级人工标注数据集，同时发布标注材料与机器学习基线模型。
摘要：
叙事包含随时间和语境展开的丰富事件来源。自动理解这些事件可为进一步计算（如推理）提供对叙事的概括性理解。本文研究事件的信息状态（Information Status，IS），并提出一项新颖且具有挑战性的任务：自动识别叙事中的新事件。我们将事件定义为由主语、谓语和宾语组成的三元组。依据语篇语境以及该事件是否能够通过常识推理推断出来，将其归类为新事件。我们使用人工标注者在句子层级对一个公开可用的叙事语料库标注了新事件。文中介绍了标注协议，并研究了标注质量和任务难度。我们发布了面向叙事理解的新事件抽取任务的标注数据集、标注材料以及机器学习基线模型。
英文摘要：
Narratives include a rich source of events unfolding over time and context. Automatic understanding of these events provides a summarised comprehension of the narrative for further computation (such as reasoning). In this paper, we study the Information Status (IS) of the events and propose a novel challenging task: the automatic identification of new events in a narrative. We define an event as a triplet of subject, predicate, and object. The event is categorized as new with respect to the discourse context and whether it can be inferred through commonsense reasoning. We annotated a publicly available corpus of narratives with the new events at sentence level using human annotators. We present the annotation protocol and study the quality of the annotation and the difficulty of the task. We publish the annotated dataset, annotation materials, and machine learning baseline models for the task of new event extraction for narrative understanding.
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。
