What to Fact-Check: Guiding Check-Worthy Information Detection in News Articles through Argumentative Discourse Structure
What to Fact-Check: Guiding Check-Worthy Information Detection in News Articles through Argumentative Discourse Structure
复制标题
事实检查内容：通过议论性话语结构指导新闻文章中值得检查的信息检测
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
S. Muresan
中科院分区：
文献类型：
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作者：
Tariq Alhindi;B. McManus;S. Muresan
大多数现有的自动事实核查方法都是从预先编制的声明列表开始验证的。我们调查了一个未被充分研究的问题，即确定新闻文章中的哪些陈述值得进行事实核查。我们对气候变化领域的95篇新闻文章的论点结构进行了注释，这些文章由气候科学家在climatefeedback.org上进行了事实核查。我们发布了第一个多层注释语料库，用于辩论话语结构（论点类型和关系）和新闻文章中的事实检查语句。我们讨论了参数结构和值得检查的语句之间的联系，并开发了几个用于检测气候变化领域值得检查的语句的基线模型。我们的初步结果表明，使用关于议论文语篇结构的信息，在本地语篇结构的基线上有轻微但统计上显著的改善。
Most existing methods for automatic fact-checking start with a precompiled list of claims to verify. We investigate the understudied problem of determining what statements in news articles are worthy to fact-check. We annotate the argument structure of 95 news articles in the climate change domain that are fact-checked by climate scientists at climatefeedback.org. We release the first multi-layer annotated corpus for both argumentative discourse structure (argument types and relations) and for fact-checked statements in news articles. We discuss the connection between argument structure and check-worthy statements and develop several baseline models for detecting check-worthy statements in the climate change domain. Our preliminary results show that using information about argumentative discourse structure shows slight but statistically significant improvement over a baseline of local discourse structure.
影响因子：
7.5
作者：
Bekker, Jessa;Davis, Jesse
通讯作者：
Davis, Jesse