Papers with gated convolutional network

    1 papers
    Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese (P19-1)

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    Challenge: Currently, most studies on implicit discourse relation recognition use sentence-level representations . Chinese is a paratactic language that tends to pro-drop clause connectives .
    Approach: They propose a topic tensor network to recognize Chinese implicit discourse relations with both sentence-level and topic-level representations.
    Outcome: The proposed model outperforms state-of-the-art models in micro and macro F1 scores on a Chinese discourse corpus.

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