NECE is an event-based text analysis toolkit built for narrative documents. NECE aims to provide users open and easy accesses to an event-based summary and abstraction of long narrative documents through both a graphic interface and a python package, which can be readily used in narrative analysis, understanding, or other advanced purposes. Our work addresses the challenge of long passage events extraction and temporal ordering of key events; at the same time, it offers options to select and view events related to narrative entities, such as main characters and gender groups. We conduct human evaluation to demonstrate the quality of the event chain extraction system and character features mining algorithms. Lastly, we shed light on the toolkit's potential downstream applications by demonstrating its usage in gender bias analysis and Question-Answering tasks.
翻译:NECE是一个用于叙述性文件的事件文本分析工具箱,目的是通过图形界面和python软件包,为用户提供开放和方便的、基于事件的摘要和抽象的长叙述性文件,可用于叙述性分析、理解或其他高级目的;我们的工作处理长途通过事件对关键事件进行抽取和时间排序的挑战;同时,它提供选择和观察与叙述性实体有关的活动的备选办法,例如主要人物和性别群体;我们进行人类评价,以显示事件链抽取系统的质量以及采矿算法的特点;最后,我们通过展示该工具在性别偏见分析和问题解答任务中的使用,说明该工具在下游的潜在应用。