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Constructing Coherent Event Hierarchies from News Stories

机译:从新闻故事构建连贯的事件层次结构

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摘要

News describe real-world events of varying granularity, and recognition of internal structure of events is important for automated reasoning over events. We propose an approach for constructing coherent event hierarchies from news by enforcing document-level coherence over pairwise decisions of spatiotemporal containment. Evaluation on a news corpus annotated with event hierarchies shows that enforcing global spatiotemporal coreference of events leads to significant improvements (7.6% F_1-score) in the accuracy of pair-wise decisions.
机译:新闻描述了粒度不同的现实事件,事件内部结构的识别对于事件的自动推理很重要。我们提出了一种通过对时空遏制的成对决定强制执行文档级一致性来从新闻构建一致性事件层次结构的方法。对带有事件层次结构的新闻语料库的评估表明,强制执行事件的全局时空共参照会导致成对决策的准确性显着提高(7.6%F_1得分)。

著录项

  • 来源
  • 会议地点 Doha(QA)
  • 作者

    Goran Glavas; Jan Snajder;

  • 作者单位

    University of Zagreb, Faculty of Electrical Engineering and Computing Text Analysis and Knowledge Engineering Lab Unska 3, 10000 Zagreb, Croatia;

    University of Zagreb, Faculty of Electrical Engineering and Computing Text Analysis and Knowledge Engineering Lab Unska 3, 10000 Zagreb, Croatia;

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  • 正文语种 eng
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