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SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

机译:SemEval-2017任务8:RumourEval:确定谣言的准确性和对谣言的支持

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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 nature of the discourse 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.
机译:媒体充斥着虚假的主张。甚至牛津词典(Oxford Dictionaries)都将“后真相”(out-truth)称为2016年。这比以往任何时候都更重要的是,构建可以识别故事的真实性以及围绕它的论述性质的系统。 RumourEval是SemEval的一项共享任务,旨在以文本形式识别和处理谣言和对其的反应。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主张和答复系列-并使用它们来提出两个具体的挑战以及参与者在这些挑战中所取得的成果。

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