论文标题
可解释的自动事实检查：一项调查
Explainable Automated Fact-Checking: A Survey
论文作者
论文摘要
由于越来越大的数据集和更强大的系统，在自动化事实检查中已取得了许多令人兴奋的进步，从而改善了索赔的复杂性，可以准确地对事实进行了检查。但是，尽管有这些进展，但事实检查管道仍缺少理想的功能。在这项调查中，我们专注于解释功能 - 这是事实检查系统提供其预测的原因。我们总结了现有的方法来解释事实检查系统的预测，并探讨了该主题的趋势。此外，我们通过比较对某些理想属性的现有事实检查解释进行比较分析，从而在该特定领域中良好的解释。最后，我们提出了进一步的研究指示，以产生事实检查解释，并描述这些解释如何导致研究领域的改善。
A number of exciting advances have been made in automated fact-checking thanks to increasingly larger datasets and more powerful systems, leading to improvements in the complexity of claims which can be accurately fact-checked. However, despite these advances, there are still desirable functionalities missing from the fact-checking pipeline. In this survey, we focus on the explanation functionality -- that is fact-checking systems providing reasons for their predictions. We summarize existing methods for explaining the predictions of fact-checking systems and we explore trends in this topic. Further, we consider what makes for good explanations in this specific domain through a comparative analysis of existing fact-checking explanations against some desirable properties. Finally, we propose further research directions for generating fact-checking explanations, and describe how these may lead to improvements in the research area.
