Papers with convolutional neural network based encoders

    1 papers
    Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study (2021.naacl-main)

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    Challenge: Existing approaches to encode natural languages without orders are lacking.
    Approach: They conduct a comprehensive analysis of the ability of neural models to organize sentences from a bag of words under three typical scenarios.
    Outcome: The proposed models can reorder or reconstruct sentences from a bag of words under three typical scenarios.

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