论文标题
时间感知证据对事实核对的排名
Time-Aware Evidence Ranking for Fact-Checking
论文作者
论文摘要
真理会随着时间而变化。因此，应考虑索赔准确性的事实检查决定，应考虑索赔的时间信息以及支持或反驳证据。在这项工作中，我们调查了一个假设，即网页的时间戳对于给定索赔的排名应该如何排名至关重要。我们描述了四种时间排名方法，这些方法限制了证据的排名不同，并模拟了假设特定的证据排名，因为证据时间戳为黄金标准。在三个事实检查模型中排名的证据最终将使用学习范围的损失函数进行优化。我们的研究表明，时间感知证据排名不仅超过了基于语义相似性或搜索结果列表中的位置的相关性假设，而且还提高了对时间敏感性主张的真实性预测。
Truth can vary over time. Fact-checking decisions on claim veracity should therefore take into account temporal information of both the claim and supporting or refuting evidence. In this work, we investigate the hypothesis that the timestamp of a Web page is crucial to how it should be ranked for a given claim. We delineate four temporal ranking methods that constrain evidence ranking differently and simulate hypothesis-specific evidence rankings given the evidence timestamps as gold standard. Evidence ranking in three fact-checking models is ultimately optimized using a learning-to-rank loss function. Our study reveals that time-aware evidence ranking not only surpasses relevance assumptions based purely on semantic similarity or position in a search results list, but also improves veracity predictions of time-sensitive claims in particular.
