Papers by Kaizhou Xuan

    1 papers
    A State-independent and Time-evolving Network for Early Rumor Detection in Social Media (2020.emnlp-main)

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    Challenge: Existing methods to rumor detection ignored dynamical evolution of an event and failed to capture its unique features in different states.
    Approach: They propose a state-independent and time-evolving Network (STN) for rumor detection based on fine-grained event state detection and segmentation.
    Outcome: The proposed framework can significantly improve the rumor detection accuracy in comparison with some strong baseline systems.

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