We present EventPlus, a temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction. Event information, especially event temporal knowledge, is a type of common sense knowledge that helps people understand how stories evolve and provides predictive hints for future events. EventPlus as the first comprehensive temporal event understanding pipeline provides a convenient tool for users to quickly obtain annotations about events and their temporal information for any user-provided document. Furthermore, we show EventPlus can be easily adapted to other domains (e.g., biomedical domain). We make EventPlus publicly available to facilitate event-related information extraction and downstream applications.
翻译:我们展示了“时间事件理解管道”这一时间事件理解管道,它整合了各种最先进的事件理解组件,包括事件触发和类型探测、事件论证检测、事件持续时间和时间关系提取等。事件信息,特别是事件时间知识,是一种常识知识,有助于人们了解故事的演变,并为未来事件提供预测提示。“事件理解管道”作为第一个全面的时间事件理解管道,为用户迅速获取事件说明及其时间信息提供了方便工具,供用户提供任何文件使用。此外,我们展示了“事件强化”可以很容易地适应其他领域(例如生物医学领域)。我们公开“事件强化”为事件信息提取和下游应用提供便利。