Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks

    national conference on artificial intelligence, 2019.

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    Abstract:

    Recurrent Neural Networks (RNNs) have been widely used in processing natural language tasks and achieve huge success. Traditional RNNs usually treat each token in a sentence uniformly and equally. However, this may miss the rich semantic structure information of a sentence, which is useful for understanding natural languages. Since semant...More

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