论文标题
脚本知识的因果推断
Causal Inference of Script Knowledge
论文作者
论文摘要
一系列事件何时定义日常情况，如何从文本中引起这些知识？诱导此类脚本的先前工作以一种或另一种形式依赖于语料库中事件实例之间的相关性。我们从概念和实践意义上说，纯粹的基于相关的方法是不够的，而是根据事件之间的因果效应提出了一种脚本归纳的方法，该方法通过干预措施正式定义。通过人类和自动评估，我们表明，基于因果效应的方法的输出可以更好地匹配脚本所代表的内容
When does a sequence of events define an everyday scenario and how can this knowledge be induced from text? Prior works in inducing such scripts have relied on, in one form or another, measures of correlation between instances of events in a corpus. We argue from both a conceptual and practical sense that a purely correlation-based approach is insufficient, and instead propose an approach to script induction based on the causal effect between events, formally defined via interventions. Through both human and automatic evaluations, we show that the output of our method based on causal effects better matches the intuition of what a script represents
