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对《Deep Two-path Semi-supervised Learning for Fake News Detection》解读
时间 2020-12-28
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谣言检测
自然语言处理
神经网络
深度学习
机器学习
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对《Deep Two-path Semi-supervised Learning for Fake News Detection》 这篇是我看到第一篇用半监督学习做的虚假新闻检测任务的论文。笔者对半监督学习并没了解多少,这篇论文不好评价, 还请见谅。 Abstract 本文通过半监督学习方法来进行虚假新闻检测。 在这个模型中有两条路径,一个通过监督学习方法, 另一个用无监督学习方法进行检测。 它们
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相关文章
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【论文解读 WWW 2019 | MVAE】Multimodal Variational Autoencoder for Fake News Detection
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