With the rapid development of information technology, online platforms have produced enormous text resources. As a particular form of Information Extraction (IE), Event Extraction (EE) has gained increasing popularity due to its ability to automatically extract events from human language. However, there are limited literature surveys on event extraction. Existing review works either spend much effort describing the details of various approaches or focus on a particular field. This study provides a comprehensive overview of the state-of-the-art event extraction methods and their applications from text, including closed-domain and open-domain event extraction. A trait of this survey is that it provides an overview in moderate complexity, avoiding involving too many details of particular approaches. This study focuses on discussing the common characters, application fields, advantages, and disadvantages of representative works, ignoring the specificities of individual approaches. Finally, we summarize the common issues, current solutions, and future research directions. We hope this work could help researchers and practitioners obtain a quick overview of recent event extraction.
翻译:随着信息技术的迅速发展,在线平台产生了巨大的文字资源,作为信息提取(IE),事件提取(EE)的一种特殊形式,由于它能够自动从人类语言中提取事件,因此越来越受欢迎。然而,关于事件提取的文献调查有限。现有的审查工作要么花费大量精力来描述各种办法的细节,要么侧重于某一特定领域。本研究报告全面概述了最新事件提取方法及其在文本中的应用,包括闭门和开场活动提取。本调查的一个特征是,它提供了相当复杂的概览,避免了涉及过多特定方法的细节。本研究的重点是讨论代表性作品的共同特征、应用领域、优缺点,忽视了个别方法的特殊性。最后,我们总结了共同的问题、目前的解决办法和今后的研究方向。我们希望这项工作能够帮助研究人员和从业人员快速了解最近事件提取的概况。