俄语姿态预测:数据与分析

Nikita Lozhnikov, Leon Derczynski, M. Mazzara
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引用次数: 24

摘要

姿态检测是谣言和假新闻识别的关键组成部分。它涉及提取特定作者对给定主张所采取的立场,两者都在文本中表达。本文对俄语的姿态分类进行了研究。它引入了一个新的数据集,RuStance,其中包含了来自多个来源的俄语推文和新闻评论,涵盖了多个故事,以及用于姿态检测的文本分类方法,作为该语言中这些数据的基准。除了展示这个公开可用的数据集,这是俄语的第一个此类数据集,论文还提出了该语言的立场预测基线。
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Stance Prediction for Russian: Data and Analysis
Stance detection is a critical component of rumour and fake news identification. It involves the extraction of the stance a particular author takes related to a given claim, both expressed in text. This paper investigates stance classification for Russian. It introduces a new dataset, RuStance, of Russian tweets and news comments from multiple sources, covering multiple stories, as well as text classification approaches to stance detection as benchmarks over this data in this language. As well as presenting this openly-available dataset, the first of its kind for Russian, the paper presents a baseline for stance prediction in the language.
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