Papers with auxiliary domain discriminators

    1 papers
    Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators (N18-2)

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    Challenge: Recent studies on review helpfulness prediction require labeled samples for each domain/category of interest.
    Approach: They propose a convolutional neural network based model which leverages word-level and character-based representations to transfer knowledge between domains.
    Outcome: The proposed model outperforms the state-of-the-art on the Amazon product review dataset.

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