To understand a narrative, it is essential to comprehend its main characters and the associated major events; 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 using sliding window method. Through extensive human evaluations, we have confirmed the high quality of the NECE toolkit, and external validation has demonstrated its potential for application in downstream tasks such as question answering and bias analysis. The NECE toolkit includes both a Python library and a user-friendly web interface; the latter offers custom visualizations of event chains and easy navigation between graphics and text to improve reading efficiency and experience.
翻译:要理解叙述,就必须理解它的主要特点和相关的重大事件;然而,这可能会因冗长和无结构化的叙述性案文而具有挑战性。为了解决这个问题,我们引入了NECE,这是一个开放的、文件级的工具包,它使用滑动窗口方法按发生时间顺序自动提取和调整叙述性事件。通过广泛的人力评估,我们确认了NECE工具包的高质量,外部验证表明它有可能应用于下游任务,例如问答和偏见分析。NECE工具包包括一个Python图书馆和一个方便用户的网络界面;后者提供事件链的定制可视化和图像与文本之间的简单导航,以提高阅读效率和经验。</s>