论文标题
建模文档级的时间结构，用于构建时间依赖图
Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs
论文作者
论文摘要
我们建议利用新闻论述分析来建模文档级的时间结构，以构建时间依赖图。我们的主要观察结果是，用于分析新闻话语的句子的功能作用表示与新闻故事相关的不同时间范围，因此可以帮助恢复文档的全球时间结构。我们对广泛使用的知识蒸馏技术进行的分析和实验表明，话语分析有效地识别了遥远的事件和（或）时间表达对，这些事件是时间相关且难以定位的时间表。
We propose to leverage news discourse profiling to model document-level temporal structures for building temporal dependency graphs. Our key observation is that the functional roles of sentences used for profiling news discourse signify different time frames relevant to a news story and can, therefore, help to recover the global temporal structure of a document. Our analyses and experiments with the widely used knowledge distillation technique show that discourse profiling effectively identifies distant inter-sentence event and (or) time expression pairs that are temporally related and otherwise difficult to locate.
