论文标题
从文本中提取时间信息的时间推理的调查（扩展摘要）
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)
论文作者
论文摘要
时间深刻地融入了人们如何看待和对世界进行交流。几乎不知不觉地，我们提供语言语言，例如动词时态，我们几乎无法产生没有这种提示的句子。从文本中提取时间提示，并构建有关描述事件顺序的全球时间视野是自动自然语言理解的主要挑战。时间推理，将不同的时间线索组合为连贯的时间视图的过程在时间信息提取中起着核心作用。本文介绍了过去几十年中关于从文本中自动时间信息提取的时间推理的研究的全面调查，提供了有关符号推理与基于机器学习的信息提取系统整合的案例研究。
Time is deeply woven into how people perceive, and communicate about the world. Almost unconsciously, we provide our language utterances with temporal cues, like verb tenses, and we can hardly produce sentences without such cues. Extracting temporal cues from text, and constructing a global temporal view about the order of described events is a major challenge of automatic natural language understanding. Temporal reasoning, the process of combining different temporal cues into a coherent temporal view, plays a central role in temporal information extraction. This article presents a comprehensive survey of the research from the past decades on temporal reasoning for automatic temporal information extraction from text, providing a case study on the integration of symbolic reasoning with machine learning-based information extraction systems.
