  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.
