SemEval-2017任务8：RumourEval：确定谣言的真实性和对谣言的支持
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
摘要：
媒体充斥着虚假的报道。甚至牛津词典也将“后真相”命名为2016年的单词。这使得构建能够识别故事的真实性以及围绕故事的话语类型的系统比以往任何时候都更加重要。RumourEval是SemEval的共享任务，旨在识别和处理文本中的谣言及其反应。我们提出了一个注释方案，一个涵盖多个主题的大型数据集-每个主题都有自己的索赔和答复系列-并使用这些来提出两个具体的挑战以及参与者在这些挑战中取得的成果。
英文摘要：
Media is full of false claims. Even Oxford Dictionaries named "post-truth" as the word of 2016. This makes it more important than ever to build systems that can identify the veracity of a story, and the kind of discourse there is around it. RumourEval is a SemEval shared task that aims to identify and handle rumours and reactions to them, in text. We present an annotation scheme, a large dataset covering multiple topics - each having their own families of claims and replies - and use these to pose two concrete challenges as well as the results achieved by participants on these challenges.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
