论文标题
事件提取：调查
Event Extraction: A Survey
论文作者
论文摘要
从文本中提取报告的事件是自然语言处理的关键研究主题之一。此过程包括几个任务，例如事件检测，参数提取，角色标签。作为自然语言处理和自然语言理解中最重要的主题之一，事件提取的应用跨越了各个领域，例如新闻，生物医学领域，历史和人类以及网络安全。该报告对文本文档中的事件检测进行了全面的调查。在本报告中，我们提供任务定义，评估方法以及基准数据集和事件提取方法的分类学。我们还提出了对事件检测中未来研究方向的愿景。
Extracting the reported events from text is one of the key research themes in natural language processing. This process includes several tasks such as event detection, argument extraction, role labeling. As one of the most important topics in natural language processing and natural language understanding, the applications of event extraction spans across a wide range of domains such as newswire, biomedical domain, history and humanity, and cyber security. This report presents a comprehensive survey for event detection from textual documents. In this report, we provide the task definition, the evaluation method, as well as the benchmark datasets and a taxonomy of methodologies for event extraction. We also present our vision of future research direction in event detection.
