ScholarGate
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Process / pipeline

时间线抽取 — 事件时间排序

时间线抽取是一项自然语言处理任务,它识别文本中提到的事件,将每个事件锚定到时间表达式,并将它们排列成按时间顺序排列的时间线。通过 TempEval 共享任务(Verhagen et al., 2010)形式化,它能够从非结构化文本中自动重建历史叙事、新闻事件序列和临床病例进展。

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来源

  1. Verhagen, M. et al. (2010). SemEval-2010 Task 13: TempEval-2. Proceedings of the 5th International Workshop on Semantic Evaluation (ACL). link
  2. Minard, A.L. et al. (2016). MEANTIME: MedliNe Annotated TimeLine. Proceedings of the 10th Language Resources and Evaluation Conference (LREC). link

如何引用本页

ScholarGate. (2026, June 1). Timeline Extraction (Temporal Event Ordering). ScholarGate. https://scholargate.app/zh/text-mining/timeline-extraction

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateTimeline Extraction (Timeline Extraction (Temporal Event Ordering)). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/timeline-extraction · 数据集: https://doi.org/10.5281/zenodo.20539026