Papers by Longxiang Shen

    1 papers
    Negative Focus Detection via Contextual Attention Mechanism (D19-1)

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    Challenge: Negation is a universal but complicated linguistic phenomenon that reverses the polarity of a statement or its property into opposite.
    Approach: They propose a framework which consists of a Bidirectional Long Short-Term Memory neural network and a Conditional Random Fields layer to capture contextual information.
    Outcome: The proposed framework improves on the SEM’12 shared task corpus, yielding an absolute improvement of 2.11% over the state-of-the-art.

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