1 research outputs found
NECE: Narrative Event Chain Extraction Toolkit
To understand a narrative, it is essential to comprehend the temporal event
flows, especially those associated with main characters; however, this can be
challenging with lengthy and unstructured narrative texts. To address this, we
introduce NECE, an open-access, document-level toolkit that automatically
extracts and aligns narrative events in the temporal order of their occurrence.
Through extensive evaluations, we show the high quality of the NECE toolkit and
demonstrates its downstream application in analyzing narrative bias regarding
gender. We also openly discuss the shortcomings of the current approach, and
potential of leveraging generative models in future works. Lastly the NECE
toolkit includes both a Python library and a user-friendly web interface, which
offer equal access to professionals and layman audience alike, to visualize
event chain, obtain narrative flows, or study narrative bias